Build/check report for BioC 3.23 - CHECK results for COTAN on kjohnson3

Hostname	OS	Arch (*)	R version	Installed pkgs
kjohnson3	macOS 13.7.7 Ventura	arm64	R Under development (unstable) (2025-11-04 r88984) -- "Unsuffered Consequences"	4013
Click on any hostname to see more info about the system (e.g. compilers) () as reported by 'uname -p', except on Windows and Mac OS X*

CHECK results for COTAN on kjohnson3

To the developers/maintainers of the COTAN package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/COTAN.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results

Summary

Package: COTAN

Version: 2.11.0

Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:COTAN.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings COTAN_2.11.0.tar.gz

StartedAt: 2025-11-12 18:26:42 -0500 (Wed, 12 Nov 2025)

EndedAt: 2025-11-12 18:37:20 -0500 (Wed, 12 Nov 2025)

EllapsedTime: 637.9 seconds

RetCode: 1

Status: ERROR

CheckDir: COTAN.Rcheck

Warnings: NA

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:COTAN.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings COTAN_2.11.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.23-bioc/meat/COTAN.Rcheck’
* using R Under development (unstable) (2025-11-04 r88984)
* using platform: aarch64-apple-darwin20
* R was compiled by
    Apple clang version 16.0.0 (clang-1600.0.26.6)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Ventura 13.7.8
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘COTAN/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘COTAN’ version ‘2.11.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 26 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable.  Move as many as possible to Suggests and
use conditionally.
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘COTAN’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                          user system elapsed
UniformClusters         33.180  0.298  35.754
CalculatingCOEX         24.384  0.469  27.256
HandlingClusterizations 19.634  0.191  20.968
HeatmapPlots            14.396  0.430  15.988
ParametersEstimations   10.324  0.360  11.601
COTAN_ObjectCreation     5.071  0.093   5.714
GenesStatistics          5.062  0.078   5.531
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘outputTestDatasetCreation.R’
  Running ‘spelling.R’
  Running ‘testthat.R’
 ERROR
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
  parallel dispersion bisection: straddling used up to 2 iterations
  Parallel dispersion bisection: used up to 9 iterations
  Parallel dispersion Newton-Raphson: used up to 4 iterations
  [ FAIL 1 | WARN 3 | SKIP 0 | PASS 571 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test-COTAN-getters.R:217:3'): COTAN getters ───────────────────────
  suppressWarnings(...) (`actual`) not identical to c("B", "C", "D", "E") (`expected`).
  
  `actual`:   "C" "D" "E" "F"
  `expected`: "B" "C" "D" "E"
  
  [ FAIL 1 | WARN 3 | SKIP 0 | PASS 571 ]
  Error: Test failures
  Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR
See
  ‘/Users/biocbuild/bbs-3.23-bioc/meat/COTAN.Rcheck/00check.log’
for details.

Installation output

COTAN.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL COTAN
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.6-arm64/Resources/library’
* installing *source* package ‘COTAN’ ...
** this is package ‘COTAN’ version ‘2.11.0’
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (COTAN)

Tests output

COTAN.Rcheck/tests/outputTestDatasetCreation.Rout


R Under development (unstable) (2025-11-04 r88984) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 
> # Creates the files to be reloaded by the tests for comparisons
> 
> outputTestDatasetCreation <-
+   function(testsDir = file.path("tests", "testthat")) {
+   utils::data("test.dataset", package = "COTAN")
+   options(parallelly.fork.enable = TRUE)
+   setLoggingLevel(3L)
+ 
+   obj <- COTAN(raw = test.dataset)
+   obj <- initializeMetaDataset(objCOTAN = obj, GEO = " ",
+                                sequencingMethod = "artificial",
+                                sampleCondition = "test")
+ 
+   obj <- proceedToCoex(objCOTAN = obj, cores = 6L, saveObj = FALSE)
+ 
+   if (FALSE) {
+     saveRDS(obj, file = file.path(testsDir,"test.COTAN.RDS"))
+   }
+ 
+   cells.names.test <-
+     getCells(objCOTAN = obj)[c(1L:10L, 591L:610L, 991L:1000L)]
+   genes.names.test <-
+     getGenes(objCOTAN = obj)[c(131L:140L, 291L:310L, 591L: 600L)]
+   saveRDS(cells.names.test, file.path(testsDir, "cells.names.test.RDS"))
+   saveRDS(genes.names.test, file.path(testsDir, "genes.names.test.RDS"))
+ 
+   pcaRaw <- runPCA(x = getRawData(objCOTAN = obj), rank = 10L,
+                    BSPARAM = IrlbaParam(), get.rotation = FALSE)[["x"]]
+ 
+   pca.raw.test <- pcaRaw[genes.names.test, ]
+   saveRDS(pca.raw.test, file.path(testsDir, "pca.raw.test.RDS"))
+ 
+   dispersion.test <- getDispersion(objCOTAN = obj)[genes.names.test]
+   saveRDS(dispersion.test, file.path(testsDir, "dispersion.test.RDS"))
+ 
+   raw.norm.test <-
+     getNuNormData(objCOTAN = obj)[genes.names.test, cells.names.test]
+   saveRDS(raw.norm.test, file.path(testsDir, "raw.norm.test.RDS"))
+ 
+   coex.test <-
+     getGenesCoex(objCOTAN = obj, genes = genes.names.test, zeroDiagonal = FALSE)
+   saveRDS(coex.test, file.path(testsDir, "coex.test.RDS"))
+ 
+   lambda.test <- getLambda(objCOTAN = obj)[genes.names.test]
+   saveRDS(lambda.test, file.path(testsDir, "lambda.test.RDS"))
+ 
+   GDI.test <- calculateGDI(objCOTAN = obj)
+   GDI.test <- GDI.test[genes.names.test, ]
+   saveRDS(GDI.test, file.path(testsDir, "GDI.test.RDS"))
+ 
+   nu.test <- getNu(objCOTAN = obj)[cells.names.test]
+   saveRDS(nu.test, file.path(testsDir, "nu.test.RDS"))
+ 
+   pvalues.test <- calculatePValue(objCOTAN = obj,
+                                   geneSubsetCol = genes.names.test,
+                                   geneSubsetRow = genes.names.test)
+   saveRDS(pvalues.test, file.path(testsDir, "pvalues.test.RDS"))
+ 
+   groupMarkers <- list(G1 = c("g-000010", "g-000020", "g-000138"),
+                        G2 = c("g-000300", "g-000330", "g-000660"),
+                        G3 = c("g-000510", "g-000530", "g-000550",
+                               "g-000570", "g-000590"))
+ 
+   gcsData <- genesCoexSpace(objCOTAN = obj,
+                             primaryMarkers = unlist(groupMarkers),
+                             numGenesPerMarker = 11L)
+ 
+   genes.coex.space.test <- gcsData[["GCS"]]
+   saveRDS(genes.coex.space.test,
+           file.path(testsDir, "genes.coex.space.test.RDS"))
+ 
+   genesClustersData <-
+     establishGenesClusters(objCOTAN = obj,
+                            groupMarkers = groupMarkers,
+                            numGenesPerMarker = 11L,
+                            kCuts = 6L, distance = "cosine",
+                            hclustMethod = "ward.D2")
+ 
+   pca.genes.clusters.test <- genesClustersData[["pca_clusters"]]
+   saveRDS(pca.genes.clusters.test,
+           file.path(testsDir, "pca.genes.clusters.test.RDS"))
+ 
+   # Make it a less strict check as it is only for testing
+   checker <- new("AdvancedGDIUniformityCheck")
+   checker <- shiftCheckerThresholds(checker, 0.1)
+ 
+   initialResolution <- 1.3
+   splitData <- cellsUniformClustering(objCOTAN = obj,
+                                       checker = checker,
+                                       initialResolution = initialResolution,
+                                       useCoexEigen = TRUE,
+                                       dataMethod = "LL",
+                                       numReducedComp = 50L,
+                                       cores = 6L, optimizeForSpeed = TRUE,
+                                       deviceStr = "cuda", saveObj = FALSE)
+ 
+   split.clusters.test <- splitData[["clusters"]]
+   saveRDS(split.clusters.test,
+           file = file.path(testsDir, "split.clusters.test.RDS"))
+ 
+   test.dataset.clusters1 <- split.clusters.test
+   save(test.dataset.clusters1, compress = TRUE,
+        file = file.path("data", "test.dataset.clusters1.rda"))
+ 
+   obj <- addClusterization(objCOTAN = obj,
+                            clName = "split",
+                            clusters = splitData[["clusters"]],
+                            coexDF = splitData[["coex"]])
+ 
+   coex.clusters.test <- splitData[["coex"]][genes.names.test, ]
+   saveRDS(coex.clusters.test, file.path(testsDir, "coex.clusters.test.RDS"))
+ 
+   pvalDF <- pValueFromDEA(splitData[["coex"]],
+                           getNumCells(objCOTAN = obj),
+                           adjustmentMethod = "none")
+ 
+   pvalues.clusters.test <- pvalDF[genes.names.test, ]
+   saveRDS(pvalues.clusters.test,
+           file.path(testsDir, "pvalues.clusters.test.RDS"))
+ 
+   mergedData <- mergeUniformCellsClusters(objCOTAN = obj,
+                                           clusters = splitData[["clusters"]],
+                                           checkers = checker,
+                                           batchSize = 1L,
+                                           cores = 6L,
+                                           distance = "cosine",
+                                           hclustMethod = "ward.D2",
+                                           saveObj = FALSE)
+ 
+   merge.clusters.test <- mergedData[["clusters"]]
+   saveRDS(merge.clusters.test,
+           file = file.path(testsDir, "merge.clusters.test.RDS"))
+ 
+   test.dataset.clusters2 <- merge.clusters.test
+   save(test.dataset.clusters2, compress = TRUE,
+        file = file.path("data", "test.dataset.clusters2.rda"))
+ 
+   obj <- addClusterization(objCOTAN = obj,
+                            clName = "merge",
+                            clusters = mergedData[["clusters"]],
+                            coexDF = mergedData[["coex"]])
+ }
> 
> proc.time()
   user  system elapsed 
  0.119   0.037   0.153

COTAN.Rcheck/tests/spelling.Rout


R Under development (unstable) (2025-11-04 r88984) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> if (requireNamespace("spelling", quietly = TRUE))
+   spelling::spell_check_test(vignettes = TRUE, error = FALSE,
+                              skip_on_cran = TRUE)
All Done!
> 
> proc.time()
   user  system elapsed 
  0.094   0.035   0.125

COTAN.Rcheck/tests/testthat.Rout.fail


R Under development (unstable) (2025-11-04 r88984) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> Sys.setenv(R_TESTS = "")
> library(testthat)
> library(COTAN)
> library(zeallot)
> test_check("COTAN")
Setting new log level to 4
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.92171311378479
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.27807998657227
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000248908996582031
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00587105751037598
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.439290046691895
Total calculations elapsed time: 1.72348999977112
Calculate genes' COEX (legacy): DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 5 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 2.66701483726501
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 7 cells batches
Total calculations elapsed time: 0.46041989326477
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75595238095238 | median:  1.07156808035714 | mean:  1.07156808035714
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.941760063171387
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03734183779544 | max: 4.61112297272667 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.497911930084229
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0295487661210321 | median:  0.016072261901129 | mean:  0.016072261901129
`nu` mean: 1.69786080481514
Marginal errors | max: 1.95799528048 | median 1.32268477389029 | mean: 1.33563364783916
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.861209154129028
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0585450475968788 | max: 3.52739274166646 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.437891960144043
Estimate `nu`: DONE
`nu` change (abs) | max: 0.417150556912302 | median:  0.240156504520849 | mean:  0.240156504520849
`nu` mean: 0.823005947608547
Marginal errors | max: 0.837672524335755 | median 0.704691669139065 | mean: 0.646575831699997
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.979062795639038
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.328845855849147 | max: 4.03031691940854 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.493016004562378
Estimate `nu`: DONE
`nu` change (abs) | max: 0.164439840041 | median:  0.0957105992188852 | mean:  0.0957105992188852
`nu` mean: 1.06872924082212
Marginal errors | max: 0.260109847946692 | median 0.21392791155499 | mean: 0.197565106613054
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.896758079528809
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.229469002841045 | max: 3.87206403670079 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.479659080505371
Estimate `nu`: DONE
`nu` change (abs) | max: 0.05539667181205 | median:  0.0321044921874999 | mean:  0.0321044921874999
`nu` mean: 0.97670782037545
Marginal errors | max: 0.095347789718808 | median 0.0796003827042702 | mean: 0.0725509735761708
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.03666496276855
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263830434255107 | max: 3.92953043775907 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.425514936447144
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0196209299693411 | median:  0.0114037947200925 | mean:  0.0114037947200925
`nu` mean: 1.00821713524925
Marginal errors | max: 0.0329495161656741 | median 0.0273479725376307 | mean: 0.0250296751521306
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.924468040466309
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251734659898779 | max: 3.9096133246649 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.467705011367798
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0069104540740097 | median:  0.0040109538496062 | mean:  0.0040109538496062
`nu` mean: 0.997100499775596
Marginal errors | max: 0.0116950057438405 | median 0.00972280144873938 | mean: 0.00889105008777555
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.939120054244995
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.256009779031907 | max: 3.91667271750655 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.481935977935791
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00251004753849005 | median:  0.00146484374999994 | mean:  0.00146484374999994
`nu` mean: 1.00104520378849
Marginal errors | max: 0.00430755646112857 | median 0.00358203399504298 | mean: 0.00327684342604027
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.94743013381958
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254429717857093 | max: 3.91406908073254 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.451246023178101
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00104629156456748 | median:  0.000592910406456731 | mean:  0.000592910406456731
`nu` mean: 0.999546618841889
Marginal errors | max: 0.00162038706091039 | median 0.00134441676098973 | mean: 0.00123030512553282
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.910744190216064
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255022049769696 | max: 3.91504587939868 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.45736813545227
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418450901304768 | median:  0.000244140625000028 | mean:  0.000244140625000028
`nu` mean: 1.0001743102763
Marginal errors | max: 0.00071569233034019 | median 0.000597297218559056 | mean: 0.000545906995079193
Total calculations elapsed time: 25.0719640254974
Estimate `dispersion`/`nu`: DONE
Estimate `dispersion`/`nu`: START
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.868021011352539
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.46689796447754
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000278949737548828
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0012359619140625
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.481603145599365
Total calculations elapsed time: 1.95001602172852
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.46284413337708
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000336885452270508
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.000952005386352539
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.473140954971313
Total calculations elapsed time: 1.93727397918701
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00461292266845703
Calculate `GDI`: DONE
Total calculations elapsed time: 1.40701389312744
Calculate GDI dataframe: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00123476982116699
Calculate `GDI`: DONE
Total calculations elapsed time: 1.45140695571899
Calculate GDI dataframe: DONE
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Selected 5 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 5 genes using HVG_Seurat selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer data
Calculating gene means
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variance to mean ratios
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Running genes' selection: START
Given 5 genes as input
Running genes' selection: DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.01397013664246
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.93025016784668
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Selected 8 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.965604066848755
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 8 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.58892583847046
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.54968214035034
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.46558618545532
Elaborating Reduced dimensionality Data Matrix - DONE
Initializing `COTAN` meta-data
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.02301597595215
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.529333114624023
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 1.735699617106 | median 1.3799744133366 | mean: 1.32181397451301
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.99142599105835
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0655494303592343 | max: 3.54400580804152 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.488158941268921
Estimate `nu`: DONE
`nu` change (abs) | max: 0.402649984216273 | median:  0.231868788425666 | mean:  0.231868788425666
`nu` mean: 0.829218804209393
Marginal errors | max: 0.803248939260364 | median 0.677504196374571 | mean: 0.619386446933351
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.972999095916748
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.326019058449519 | max: 4.02612397202046 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.488065004348755
Estimate `nu`: DONE
`nu` change (abs) | max: 0.158004893526231 | median:  0.0919692884670312 | mean:  0.0919692884670312
`nu` mean: 1.0660356050592
Marginal errors | max: 0.25067700287536 | median 0.206241644985115 | mean: 0.190402167377958
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.928003072738647
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.230397316576369 | max: 3.87365659194104 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.461281061172485
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0532774732102337 | median:  0.0308837890624999 | mean:  0.0308837890624999
`nu` mean: 0.977606315852266
Marginal errors | max: 0.0916920322976189 | median 0.0765360853958175 | mean: 0.0697673030094082
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.975852012634277
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263457616228195 | max: 3.928924407347 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.495537996292114
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0187878665732679 | median:  0.0109155550210726 | mean:  0.0109155550210726
`nu` mean: 1.0078723115522
Marginal errors | max: 0.0315207323253404 | median 0.0261635598193228 | mean: 0.0239435763640456
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.957890033721924
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251890641847533 | max: 3.90987172241566 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.49956202507019
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00649137083358098 | median:  0.00376680890457393 | mean:  0.00376680890457393
`nu` mean: 0.997275438070993
Marginal errors | max: 0.0109748802265024 | median 0.00912386940474885 | mean: 0.00834350038184262
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.91939902305603
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255902752363649 | max: 3.91649655995187 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.46566104888916
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00230094227000666 | median:  0.00132529141000018 | mean:  0.00132529141000018
`nu` mean: 1.00097565086001
Marginal errors | max: 0.00376864912836616 | median 0.00313421412286008 | mean: 0.00286709489297596
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.946102142333984
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254520292119112 | max: 3.91421850264948 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.451838970184326
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000837013154366462 | median:  0.000488281250000028 | mean:  0.000488281250000028
`nu` mean: 0.999651268095634
Marginal errors | max: 0.00144055320514802 | median 0.00119489364392944 | mean: 0.00109355439757213
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.936547994613647
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255046800817986 | max: 3.91508667609651 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.453109979629517
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418448154490214 | median:  0.000244140624999917 | mean:  0.000244140624999917
`nu` mean: 1.00017430752949
Marginal errors | max: 0.000715683388516908 | median 0.0005972847342397 | mean: 0.00054589991652314
Total calculations elapsed time: 25.7712428569794
Estimate `dispersion`/`nu`: DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.42167091369629
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000247001647949219
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00053095817565918
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.461498022079468
Total calculations elapsed time: 1.88394689559937
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.34648990631104
Calculating cells' COEX normalization factor
Calculate cells' normalization factor elapsed time: 0.000257968902587891
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00056004524230957
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.431391954421997
Total calculations elapsed time: 1.77869987487793
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000943899154663086
Calculate `GDI`: DONE
Total calculations elapsed time: 1.41500306129456
Calculate GDI dataframe: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.325
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.88447713851929
Calculate genes' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.79719710350037
Calculate cells' partial COEX: DONE
Asked to drop 2 genes and 0 cells
Asked to drop 0 genes and 4 cells
Asked to drop 2 genes and 2 cells

Attaching package: 'rlang'

The following objects are masked from 'package:testthat':

    is_false, is_null, is_true

Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating YN..NY..NN..t().. done
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.91097617149353
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
calculating NN.. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.4368691444397
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000298023223876953
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000512838363647461
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.458523988723755
Total calculations elapsed time: 1.89620399475098
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.38433194160461
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000225067138671875
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000503063201904297
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.448848009109497
Total calculations elapsed time: 1.83390808105469
Calculate genes' COEX (legacy): DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.1
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.72576403617859
Calculate genes' partial COEX: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.4
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.75094604492188
Calculate genes' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating NY..YN..NN..t().. done
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.8970251083374
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.469623804092407
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.0807313765005375 | mean: 0.101968565509113
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.92405986785889
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.463083982467651
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median:  0.0148852611818011 | mean:  0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741771 | median 0.00111713187082163 | mean: 0.00132007186542999
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.80812191963196
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.476058006286621
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 11.3444249629974
Estimate `dispersion`/`nu`: DONE
calculating NN.. done
calculating NN.. done
calculating YN..NY..YY..t().. done
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.43404102325439
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000278949737548828
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.000488996505737305
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.476062059402466
Total calculations elapsed time: 1.91087102890015
Calculate cells' COEX (legacy): DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.83480405807495
Calculate cells' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.95397400856018
Calculate cells' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 2.02152609825134
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.476274013519287
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.0807313765005375 | mean: 0.101968565509113
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.9221019744873
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.50764799118042
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median:  0.0148852611818011 | mean:  0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741771 | median 0.00111713187082163 | mean: 0.00132007186542999
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.98020911216736
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.487155914306641
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 11.7645578384399
Estimate `dispersion`/`nu`: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.43827295303345
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000216960906982422
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000509977340698242
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.480471134185791
Total calculations elapsed time: 1.91947102546692
Calculate genes' COEX (legacy): DONE
Calculating S: START
Calculating S: DONE
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 3.46268486976624
Calculating G: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Total calculations elapsed time: 0.000777959823608398
calculating PValues: DONE
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 3.38257694244385
Calculating G: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 3.38319802284241
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000929832458496094
Calculate `GDI`: DONE
Total calculations elapsed time: 1.54353499412537
Calculate GDI dataframe: DONE
Calculate GDI dataframe: START
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 3.42839694023132
Calculating G: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00107407569885254
Calculate `GDI`: DONE
Total calculations elapsed time: 4.91533088684082
Calculate GDI dataframe: DONE
Calculate `GDI`: START
Calculating S: START
Calculating S: DONE
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00149416923522949
Calculate `GDI`: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000941038131713867
Calculate `GDI`: DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.472907066345215
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.07367300987244
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.58166790008545
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.55861592292786
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00426506996154785
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0300779342651367
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.487531900405884
Total calculations elapsed time: 2.08049082756042
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.59439492225647
Dataset analysis elapsed time: 4.64896988868713
COTAN dataset analysis: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.516458988189697
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.09787106513977
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.62683320045471
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.62039804458618
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00655889511108398
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0295500755310059
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.505609035491943
Total calculations elapsed time: 2.16211605072021
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.67944693565369
Dataset analysis elapsed time: 4.8227391242981
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.0105679035186768
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0188968181610107
Calculate `GDI`: DONE
Total calculations elapsed time: 1.64001893997192
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.520323038101196
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.14219999313354
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.63926100730896
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.52996802330017
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00322198867797852
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0311579704284668
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.467747926712036
Total calculations elapsed time: 2.03209590911865
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.50773787498474
Dataset analysis elapsed time: 4.6673219203949
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00715494155883789
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.017103910446167
Calculate `GDI`: DONE
Total calculations elapsed time: 1.54380178451538
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.59748911857605
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.07808804512024
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.56999397277832
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.60338401794434
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00826501846313477
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0342869758605957
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.49744701385498
Total calculations elapsed time: 2.14338302612305
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.57488894462585
Dataset analysis elapsed time: 4.74237203598022
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.00353908538818359
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0191318988800049
Calculate `GDI`: DONE
Total calculations elapsed time: 1.47181987762451
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Asked to drop 0 genes and 960 cells
COTAN dataset analysis: START
Asked to drop 83 genes and 0 cells
Genes/cells selection done: dropped [83] genes and [0] cells
Working on [517] genes and [40] cells
Dataset cleaning elapsed time: 0.473870992660522
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.03722381591797
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.267567793681876 | max: 101.923257389521 | % negative: 52.6112185686654
Model parameter estimation elapsed time: 1.50336694717407
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.451523065567017
Dataset analysis elapsed time: 2.42876100540161
COTAN dataset analysis: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.466952085495
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00461101531982422
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00749087333679199
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.467972040176392
Total calculations elapsed time: 1.947026014328
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.47629308700562
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00295805931091309
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00605988502502441
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.462356090545654
Total calculations elapsed time: 1.94766712188721
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.55513501167297
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00247693061828613
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0127439498901367
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.52414608001709
Total calculations elapsed time: 2.09450197219849
Calculate genes' COEX (legacy): DONE
Hangling COTAN object with condition: test
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Total calculations elapsed time: 0.00273704528808594
calculating PValues: DONE
Handling genes type: G2
Handling genes type: G3
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Clean plots: START
PCA: START
PCA: DONE
Hierarchical clustering: START
Hierarchical clustering: DONE
Total calculations elapsed time: 1.09146189689636
Clean plots: DONE
Dataset cleaning elapsed time: 2.10117983818054
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.07724499702454
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.59570813179016
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.68450903892517
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00324583053588867
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0445849895477295
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.933840990066528
Total calculations elapsed time: 2.66618084907532
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 3.64907598495483
Dataset analysis elapsed time: 7.34596395492554
COTAN dataset analysis: DONE
Saving elaborated data locally at: /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpg92QFC/test.cotan.RDS
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.71394395828247
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 44886

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.4008
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 2.18501591682434
Creating new clusterization: DONE
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.56911110877991
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 36652

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3743
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 2.09799814224243
Creating new clusterization: DONE
Creating PDF UMAP in file:  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpg92QFC/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
18:34:39 UMAP embedding parameters a = 0.9922 b = 1.112
18:34:39 Read 1000 rows and found 65 numeric columns
18:34:39 Using Annoy for neighbor search, n_neighbors = 30
18:34:39 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:34:39 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpg92QFC/file65ff7024f8a
18:34:39 Searching Annoy index using 1 thread, search_k = 3000
18:34:39 Annoy recall = 100%
18:34:40 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
18:34:41 Initializing from normalized Laplacian + noise (using RSpectra)
18:34:41 Commencing optimization for 500 epochs, with 39044 positive edges
18:34:41 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:34:43 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 3.61333799362183
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
18:34:43 UMAP embedding parameters a = 0.9922 b = 1.112
18:34:43 Read 1000 rows and found 65 numeric columns
18:34:43 Using Annoy for neighbor search, n_neighbors = 30
18:34:43 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:34:43 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpg92QFC/file65ff3d7a29f2
18:34:43 Searching Annoy index using 1 thread, search_k = 3000
18:34:43 Annoy recall = 100%
18:34:43 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
18:34:45 Initializing from normalized Laplacian + noise (using RSpectra)
18:34:45 Commencing optimization for 500 epochs, with 39044 positive edges
18:34:45 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:34:46 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 3.14293789863586
UMAP plot: DONE
* checking uniformity of cluster '0' of 4 clusters
Asked to drop 0 genes and 687 cells
COTAN dataset analysis: START
Asked to drop 43 genes and 0 cells
Genes/cells selection done: dropped [43] genes and [0] cells
Working on [557] genes and [313] cells
Dataset cleaning elapsed time: 0.49797511100769
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 1.03004717826843
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.126565269702225 | max: 788.372048308529 | % negative: 38.5996409335727
Model parameter estimation elapsed time: 1.54575991630554
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.62239718437195
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0036618709564209
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0169050693511963
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.543884038925171
Total calculations elapsed time: 2.18684816360474
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.7479841709137
Dataset analysis elapsed time: 4.79171919822693
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0000' with 313 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0174210071563721
Calculate `GDI`: DONE
Total calculations elapsed time: 1.65116095542908
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0121610164642334
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0000, with size 313, is uniform
Cluster 01_0000's shift to uniformity: -0.017517801715238
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0412926391382406, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37948219828476, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0323159784560144, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.43089123341068, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00179533213644524, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.4438361365159, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 1, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.47612588512219, isUniform = TRUE, clusterSize = 313
cluster 01_0000 is uniform

* checking uniformity of cluster '1' of 4 clusters
Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.545111894607544
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.04696297645569
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 1.59799098968506
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.58084106445312
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00400996208190918
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0140540599822998
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.502722024917603
Total calculations elapsed time: 2.10162711143494
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.66565418243408
Dataset analysis elapsed time: 4.80875706672668
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 257 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0215258598327637
Calculate `GDI`: DONE
Total calculations elapsed time: 1.58543682098389
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0137829780578613
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 257, is uniform
Cluster 01_0001's shift to uniformity: -0.0466523594846013
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00910746812386157, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.3503476405154, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00728597449908925, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37278730407691, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.3866416314687, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.45240567481125, isUniform = TRUE, clusterSize = 257
cluster 01_0001 is uniform

* checking uniformity of cluster '2' of 4 clusters
Asked to drop 0 genes and 758 cells
COTAN dataset analysis: START
Asked to drop 77 genes and 0 cells
Genes/cells selection done: dropped [77] genes and [0] cells
Working on [523] genes and [242] cells
Dataset cleaning elapsed time: 0.536992073059082
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.03976798057556
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.166254045792573 | max: 224.924342782861 | % negative: 42.6386233269598
Model parameter estimation elapsed time: 1.53260397911072
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.58351588249207
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00318622589111328
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0165867805480957
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.523777008056641
Total calculations elapsed time: 2.12706589698792
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.64760708808899
Dataset analysis elapsed time: 4.71720314025879
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 242 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0159220695495605
Calculate `GDI`: DONE
Total calculations elapsed time: 1.5916600227356
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0120811462402344
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 242, is uniform
Cluster 01_0002's shift to uniformity: -0.0473527936300109
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00764818355640535, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.34964720636999, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00764818355640535, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37472946305403, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38771313919657, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.43097703442029, isUniform = TRUE, clusterSize = 242
cluster 01_0002 is uniform

* checking uniformity of cluster '3' of 4 clusters
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 0.516538858413696
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 1.04278683662415
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 1.59874701499939
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.61270999908447
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00323700904846191
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0134618282318115
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.5019371509552
Total calculations elapsed time: 2.13134598731995
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.61612296104431
Dataset analysis elapsed time: 4.7314088344574
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0003' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0154070854187012
Calculate `GDI`: DONE
Total calculations elapsed time: 1.54548978805542
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0118808746337891
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0003, with size 188, is uniform
Cluster 01_0003's shift to uniformity: -0.0672912272436539
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275635, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041519, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633952, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40148843025229, isUniform = TRUE, clusterSize = 188
cluster 01_0003 is uniform


Found 4 uniform and  0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 4 ] different clusters: 01_0000, 01_0001, 01_0002, 01_0003
Differential Expression Analysis - START
* DEA on cluster '1' with 313 cells
* DEA on cluster '2' with 257 cells
* DEA on cluster '3' with 242 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0167751312255859
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  3, 2  ->  1, 3  ->  2, 4  ->  4
Total calculations elapsed time: 42.9972400665283
Creating cells' uniform clustering: DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2, 3  ->  3, 4  ->  4
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 0.530244827270508
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 0.990116119384766
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 1.49549412727356
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.53870511054993
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00276994705200195
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0106780529022217
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.516324043273926
Total calculations elapsed time: 2.06847715377808
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.60064697265625
Dataset analysis elapsed time: 4.62638592720032
COTAN dataset analysis: DONE
Checking uniformity for the cluster 'Cluster_4' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0159680843353271
Calculate `GDI`: DONE
Total calculations elapsed time: 1.63231992721558
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0159308910369873
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster Cluster_4, with size 188, is uniform
Cluster Cluster_4's shift to uniformity: -0.0672912272436539
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275635, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041519, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633952, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40148843025229, isUniform = TRUE, clusterSize = 188
Differential Expression Analysis - START
* DEA on cluster '-1' with 50 cells
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 280 cells
* DEA on cluster '4' with 171 cells

Total calculations elapsed time: 0.0141937732696533
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  4, 2  ->  3, 3  ->  2, 4  ->  1, -1  ->  -1
Applied reordering to clusterization is:
1  ->  1, 2  ->  2, 3  ->  3, 4  ->  4, -1  ->  -1
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 600 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.7281391620636
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 67288

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3650
Number of communities: 5
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 2.16682410240173
Creating new clusterization: DONE
Using passed in clusterization
Creating PDF UMAP in file:  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpg92QFC/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
18:35:30 UMAP embedding parameters a = 0.9922 b = 1.112
18:35:30 Read 1000 rows and found 40 numeric columns
18:35:30 Using Annoy for neighbor search, n_neighbors = 30
18:35:30 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:35:30 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpg92QFC/file65ff42c21eac
18:35:30 Searching Annoy index using 1 thread, search_k = 3000
18:35:30 Annoy recall = 100%
18:35:31 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
18:35:32 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
18:35:32 Using 'irlba' for PCA
18:35:32 PCA: 2 components explained 36.15% variance
18:35:32 Scaling init to sdev = 1
18:35:32 Commencing optimization for 500 epochs, with 41630 positive edges
18:35:32 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:35:33 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 3.294921875
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
18:35:33 UMAP embedding parameters a = 0.9922 b = 1.112
18:35:33 Read 1000 rows and found 40 numeric columns
18:35:33 Using Annoy for neighbor search, n_neighbors = 30
18:35:33 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:35:33 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpg92QFC/file65ff4041d70a
18:35:33 Searching Annoy index using 1 thread, search_k = 3000
18:35:33 Annoy recall = 100%
18:35:34 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
18:35:35 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
18:35:35 Using 'irlba' for PCA
18:35:35 PCA: 2 components explained 36.15% variance
18:35:35 Scaling init to sdev = 1
18:35:35 Commencing optimization for 500 epochs, with 41630 positive edges
18:35:35 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
18:35:36 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 3.09864211082458
UMAP plot: DONE
* checking uniformity of cluster '1' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 38 genes and 0 cells
Genes/cells selection done: dropped [38] genes and [0] cells
Working on [562] genes and [500] cells
Dataset cleaning elapsed time: 0.51307201385498
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.03661608695984
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.108871643378045 | max: 295.971778839086 | % negative: 35.0533807829181
Model parameter estimation elapsed time: 1.59053897857666
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.61377882957458
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00482606887817383
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0201280117034912
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.509046077728271
Total calculations elapsed time: 2.14777898788452
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.63278698921204
Dataset analysis elapsed time: 4.73639798164368
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0189509391784668
Calculate `GDI`: DONE
Total calculations elapsed time: 1.61517691612244
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0135891437530518
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 500, is uniform
Cluster 01_0001's shift to uniformity: -0.0417301990665553
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0124555160142349, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35526980093344, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00889679715302491, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.38536328181504, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.4034610611549, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42565794715038, isUniform = TRUE, clusterSize = 500
cluster 01_0001 is uniform

* checking uniformity of cluster '2' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 44 genes and 0 cells
Genes/cells selection done: dropped [44] genes and [0] cells
Working on [556] genes and [500] cells
Dataset cleaning elapsed time: 0.518810033798218
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.09827494621277
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0636486786621688 | max: 141.389145035675 | % negative: 36.1510791366906
Model parameter estimation elapsed time: 1.64373707771301
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.63021397590637
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00295400619506836
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0272741317749023
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.519847869873047
Total calculations elapsed time: 2.18028998374939
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.73296284675598
Dataset analysis elapsed time: 4.89550995826721
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0246870517730713
Calculate `GDI`: DONE
Total calculations elapsed time: 1.72566914558411
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0119519233703613
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 500, is uniform
Cluster 01_0002's shift to uniformity: -0.0413872276842979
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00719424460431655, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.3556127723157, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00359712230215827, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37204026755191, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38757136821582, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40876953414112, isUniform = TRUE, clusterSize = 500
cluster 01_0002 is uniform


Found 2 uniform and  0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 2 ] different clusters: 01_0001, 01_0002
Differential Expression Analysis - START
* DEA on cluster '1' with 500 cells
* DEA on cluster '2' with 500 cells

Total calculations elapsed time: 0.0133380889892578
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 26.0690548419952
Creating cells' uniform clustering: DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 2.04712986946106
Log Fold Change Analysis - DONE
Total calculations elapsed time: 2.05107998847961
findClustersMarkers - DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 2.07955813407898
Log Fold Change Analysis - DONE
Total calculations elapsed time: 2.08327412605286
findClustersMarkers - DONE
findClustersMarkers - START
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0127630233764648
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 2.06764483451843
Log Fold Change Analysis - DONE
Total calculations elapsed time: 2.08376097679138
findClustersMarkers - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.576528072357178
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.06975197792053
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 1.60976696014404
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.59478688240051
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00384998321533203
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.020164966583252
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.533486127853394
Total calculations elapsed time: 2.15228796005249
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.69681096076965
Dataset analysis elapsed time: 4.88310599327087
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0187208652496338
Calculate `GDI`: DONE
Total calculations elapsed time: 1.72185301780701
Calculate GDI dataframe: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.29959201812744
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.546022891998291
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.3006329536438
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.83078098297119
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.639599084854126
Dataset analysis elapsed time: 3.01640295982361
COTAN dataset analysis: DONE
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Centering and scaling data matrix

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
PC_ 1 
Positive:  g-000397, g-000525, g-000460, g-000458, g-000535, g-000217, g-000194, g-000497, g-000432, g-000383 
	   g-000318, g-000486, g-000464, g-000588, g-000549, g-000368, g-000252, g-000151, g-000209, g-000538 
	   g-000325, g-000514, g-000524, g-000244, g-000320, g-000201, g-000499, g-000309, g-000290, g-000483 
Negative:  g-000415, g-000506, g-000496, g-000579, g-000572, g-000421, g-000455, g-000328, g-000178, g-000567 
	   g-000405, g-000296, g-000387, g-000501, g-000493, g-000481, g-000343, g-000528, g-000551, g-000414 
	   g-000367, g-000594, g-000159, g-000517, g-000574, g-000229, g-000222, g-000533, g-000243, g-000306 
PC_ 2 
Positive:  g-000141, g-000093, g-000089, g-000033, g-000123, g-000557, g-000330, g-000156, g-000142, g-000095 
	   g-000061, g-000235, g-000032, g-000186, g-000056, g-000259, g-000027, g-000041, g-000333, g-000386 
	   g-000009, g-000395, g-000048, g-000116, g-000340, g-000418, g-000035, g-000332, g-000086, g-000040 
Negative:  g-000088, g-000158, g-000255, g-000115, g-000054, g-000472, g-000554, g-000391, g-000253, g-000226 
	   g-000051, g-000147, g-000541, g-000077, g-000224, g-000194, g-000290, g-000293, g-000313, g-000118 
	   g-000121, g-000220, g-000467, g-000500, g-000341, g-000039, g-000091, g-000249, g-000426, g-000288 
PC_ 3 
Positive:  g-000126, g-000083, g-000086, g-000117, g-000130, g-000010, g-000498, g-000333, g-000047, g-000179 
	   g-000340, g-000035, g-000531, g-000140, g-000527, g-000049, g-000316, g-000031, g-000014, g-000073 
	   g-000218, g-000445, g-000129, g-000175, g-000105, g-000581, g-000404, g-000025, g-000266, g-000354 
Negative:  g-000096, g-000575, g-000370, g-000337, g-000319, g-000364, g-000308, g-000293, g-000147, g-000307 
	   g-000038, g-000492, g-000541, g-000185, g-000008, g-000482, g-000562, g-000097, g-000222, g-000084 
	   g-000141, g-000377, g-000224, g-000223, g-000136, g-000434, g-000277, g-000426, g-000139, g-000093 
PC_ 4 
Positive:  g-000006, g-000043, g-000462, g-000279, g-000180, g-000576, g-000087, g-000584, g-000498, g-000333 
	   g-000189, g-000088, g-000451, g-000059, g-000135, g-000281, g-000106, g-000429, g-000316, g-000578 
	   g-000303, g-000031, g-000581, g-000026, g-000122, g-000561, g-000546, g-000164, g-000353, g-000300 
Negative:  g-000072, g-000012, g-000129, g-000052, g-000097, g-000262, g-000080, g-000056, g-000025, g-000092 
	   g-000354, g-000334, g-000423, g-000228, g-000002, g-000010, g-000086, g-000147, g-000185, g-000172 
	   g-000124, g-000009, g-000077, g-000476, g-000126, g-000145, g-000065, g-000268, g-000152, g-000348 
PC_ 5 
Positive:  g-000051, g-000150, g-000088, g-000476, g-000344, g-000116, g-000428, g-000012, g-000523, g-000394 
	   g-000101, g-000127, g-000069, g-000214, g-000049, g-000357, g-000075, g-000081, g-000576, g-000342 
	   g-000439, g-000018, g-000070, g-000079, g-000015, g-000550, g-000600, g-000247, g-000218, g-000331 
Negative:  g-000105, g-000037, g-000110, g-000054, g-000090, g-000389, g-000022, g-000578, g-000289, g-000147 
	   g-000547, g-000011, g-000477, g-000433, g-000200, g-000348, g-000404, g-000003, g-000250, g-000109 
	   g-000402, g-000241, g-000595, g-000341, g-000560, g-000385, g-000413, g-000352, g-000573, g-000265 
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 67911

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6000
Number of communities: 2
Elapsed time: 0 seconds
Clusterizations found: RNA_snn_res.0.8, seurat_clusters
Conditions found: orig.ident
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.638012170791626
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.2820451259613
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.80502390861511
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.51242208480835
Dataset analysis elapsed time: 2.95545816421509
COTAN dataset analysis: DONE
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.626415014266968
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.25835299491882
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.88749408721924
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.73538899421692
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00382709503173828
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0291590690612793
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.551614999771118
Total calculations elapsed time: 2.31999015808105
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.81919407844543
Dataset analysis elapsed time: 5.33310317993164
COTAN dataset analysis: DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00329709053039551
calculating PValues: DONE
Number of selected secondary markers: 6
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00371885299682617
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 6
Number of rows (U set): 60
Total calculations elapsed time: 0.545375823974609
Calculating gene co-expression space - DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00419497489929199
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00344204902648926
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.562852144241333
Calculating gene co-expression space - DONE
Establishing gene clusters - START
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Total calculations elapsed time: 0.00354290008544922
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00490999221801758
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.536375045776367
Calculating gene co-expression space - DONE
Total calculations elapsed time: 0.570480108261108
Establishing gene clusters - DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.534868001937866
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.14062094688416
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.6580810546875
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.565210103988647
Dataset analysis elapsed time: 2.75815916061401
COTAN dataset analysis: DONE
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.015294075012207
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 2.18426513671875
Log Fold Change Analysis - DONE
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.10997640736885
Handling cluster '2' with mean UDE 1.00770245700749
Handling cluster '3' with mean UDE 0.95940682189354
Handling cluster '4' with mean UDE 0.907328369455933
clustersDeltaExpression - DONE
In group G1 there are 3 detected over 3 genes
In group G2 there are 2 detected over 3 genes
In group G3 there are 5 detected over 5 genes
Merging cells' uniform clustering: START
The merge algorithm will use 2 passes
Start merging nearest clusters - the main threshold is: 1.297
Start merging nearest clusters: iteration 1
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0168170928955078
Differential Expression Analysis - DONE
Updating check results for the 0 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1", "2")
*1_2-merge
Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.522536993026733
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.04525709152222
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 1.57830095291138
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.59265613555908
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00326704978942871
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0182669162750244
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.533937931060791
Total calculations elapsed time: 2.14812803268433
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.70181512832642
Dataset analysis elapsed time: 4.80265307426453
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge' with 499 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0219669342041016
Calculate `GDI`: DONE
Total calculations elapsed time: 1.66019606590271
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0122439861297607
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge, with size 499, is not uniform
Cluster 1_2-merge's shift to uniformity: 0.0566581136434134
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.178082191780822, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35365811364341, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.148972602739726, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37149326865971, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00513698630136986, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38256306292781, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 3, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42111642638122, isUniform = FALSE, clusterSize = 499
Clusters 1 and 2 cannot be merged
Finished the first batch - no merges were executed
Loop calculations elapsed time: 8.98917698860168
Start merging nearest clusters: iteration 2
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0189929008483887
Differential Expression Analysis - DONE
Updating check results for the 1 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("3", "4")
*3_4-merge
Asked to drop 0 genes and 499 cells
COTAN dataset analysis: START
Asked to drop 37 genes and 0 cells
Genes/cells selection done: dropped [37] genes and [0] cells
Working on [563] genes and [501] cells
Dataset cleaning elapsed time: 0.494872093200684
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 1.16048908233643
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.107568326617881 | max: 698.639334552755 | % negative: 32.1492007104796
Model parameter estimation elapsed time: 1.63848280906677
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.61944890022278
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00336217880249023
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0221199989318848
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.56939697265625
Total calculations elapsed time: 2.2143280506134
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.75321912765503
Dataset analysis elapsed time: 4.88657402992249
COTAN dataset analysis: DONE
Checking uniformity for the cluster '3_4-merge' with 501 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0173289775848389
Calculate `GDI`: DONE
Total calculations elapsed time: 2.38605284690857
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0119569301605225
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 3_4-merge, with size 501, is not uniform
Cluster 3_4-merge's shift to uniformity: 0.081310750472489
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.259325044404973, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37831075047249, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.216696269982238, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.41473792188166, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.0301953818827709, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.43341610223173, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 17, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.4617394878777, isUniform = FALSE, clusterSize = 501
Clusters 3 and 4 cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.297 out of 2 checks
Start merging nearest clusters - the main threshold is: 1.397
Start merging nearest clusters: iteration 3
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0127928256988525
Differential Expression Analysis - DONE
Updating check results for the 2 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("2", "4")
*2_4-merge
Asked to drop 0 genes and 570 cells
COTAN dataset analysis: START
Asked to drop 9 genes and 0 cells
Genes/cells selection done: dropped [9] genes and [0] cells
Working on [591] genes and [430] cells
Dataset cleaning elapsed time: 0.829221963882446
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.52086091041565
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0739592351622374 | max: 400.051960722886 | % negative: 25.7191201353638
Model parameter estimation elapsed time: 2.06223106384277
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 2.38545298576355
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00364589691162109
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0190951824188232
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.514132976531982
Total calculations elapsed time: 2.92232704162598
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 3.4634358882904
Dataset analysis elapsed time: 6.35488891601562
COTAN dataset analysis: DONE
Checking uniformity for the cluster '2_4-merge' with 430 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0218501091003418
Calculate `GDI`: DONE
Total calculations elapsed time: 1.60436415672302
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0117990970611572
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 2_4-merge, with size 430, is not uniform
Cluster 2_4-merge's shift to uniformity: 3.07228472969514
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.583756345177665, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 3.7954982715656, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.576988155668359, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.08354952912925, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.524534686971235, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 4.42722016730736, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 310, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 4.57228472969514, isUniform = FALSE, clusterSize = 430
Clusters 2 and 4 cannot be merged
Clusters 1 and 2 will be merged
Clusters 4 and 3 will be merged
Executed 2 merges
Loop calculations elapsed time: 10.3670167922974
Start merging nearest clusters: iteration 4
Differential Expression Analysis - START
* DEA on cluster '1_2-merge' with 499 cells
* DEA on cluster '3_4-merge' with 501 cells

Total calculations elapsed time: 0.0134041309356689
Differential Expression Analysis - DONE
Updating check results for the 3 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1_2-merge", "3_4-merge")
*1_2-merge_3_4-merge-merge
Asked to drop no genes or cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.510316848754883
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 1.10311508178711
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.62098598480225
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.61555814743042
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00401592254638672
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.032404899597168
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.538499116897583
Total calculations elapsed time: 2.19047808647156
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.71463298797607
Dataset analysis elapsed time: 4.8459358215332
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge_3_4-merge-merge' with 1000 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0208208560943604
Calculate `GDI`: DONE
Total calculations elapsed time: 1.65536713600159
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0138530731201172
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge_3_4-merge-merge, with size 1000, is not uniform
Cluster 1_2-merge_3_4-merge-merge's shift to uniformity: 3.8698838512041
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.69, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 4.54596809454194, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.678333333333333, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.93144728766684, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.593333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 5.2532296852478, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 356, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 5.3698838512041, isUniform = FALSE, clusterSize = 1000
Clusters 1_2-merge and 3_4-merge cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.397 out of 4 checks
The final merged clusterization contains [2] different clusters: 1_2-merge, 3_4-merge
Differential Expression Analysis - START
* DEA on cluster '1' with 499 cells
* DEA on cluster '2' with 501 cells

Total calculations elapsed time: 0.0147640705108643
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 38.1611540317535
Merging cells' uniform clustering: DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 1.00843906402588
Log Fold Change Analysis - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.508241891860962
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 1.04438900947571
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 1.5048201084137
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.58083605766296
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00330209732055664
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0190629959106445
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.515041828155518
Total calculations elapsed time: 2.11824297904968
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.62256002426147
Dataset analysis elapsed time: 4.63562202453613
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0178499221801758
Calculate `GDI`: DONE
Total calculations elapsed time: 1.53886198997498
Calculate GDI dataframe: DONE
Dispersion bisection: straddling used 2 iterations
Dispersion bisection: used 8 iterations
Dispersion bisection: straddling used 1 iterations
Dispersion bisection: used 9 iterations
Dispersion Newton-Raphson: used up to 4 iterations
Dispersion Newton-Raphson: used up to 4 iterations
parallel dispersion bisection: straddling used up to 2 iterations
Parallel dispersion bisection: used up to 9 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
[ FAIL 1 | WARN 3 | SKIP 0 | PASS 571 ]

══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-COTAN-getters.R:217:3'): COTAN getters ───────────────────────
suppressWarnings(...) (`actual`) not identical to c("B", "C", "D", "E") (`expected`).

`actual`:   "C" "D" "E" "F"
`expected`: "B" "C" "D" "E"

[ FAIL 1 | WARN 3 | SKIP 0 | PASS 571 ]
Error: Test failures
Execution halted

Example timings

COTAN.Rcheck/COTAN-Ex.timings

name	user	system	elapsed
COTAN_Legacy	0.001	0.001	0.002
COTAN_ObjectCreation	5.071	0.093	5.714
CalculatingCOEX	24.384	0.469	27.256
ClustersList	0.003	0.002	0.005
Conversions	2.320	0.045	2.573
GenesStatistics	5.062	0.078	5.531
HandleMetaData	0.015	0.002	0.017
HandlingClusterizations	19.634	0.191	20.968
HandlingConditions	0.033	0.005	0.038
HeatmapPlots	14.396	0.430	15.988
Installing_torch	0	0	0
LoggingFunctions	0.001	0.000	0.001
ParametersEstimations	10.324	0.360	11.601
RawDataCleaning	1.868	0.041	2.052
RawDataGetters	0.015	0.002	0.017
UniformClusters	33.180	0.298	35.754
getColorsVector	0.000	0.000	0.001