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This page was generated on 2025-10-01 12:04 -0400 (Wed, 01 Oct 2025).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 24.04.3 LTS)x86_644.5.1 Patched (2025-08-23 r88802) -- "Great Square Root" 4843
lconwaymacOS 12.7.1 Montereyx86_644.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" 4631
kjohnson3macOS 13.7.7 Venturaarm644.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" 4575
taishanLinux (openEuler 24.03 LTS)aarch644.5.0 (2025-04-11) -- "How About a Twenty-Six" 4576
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

Package 454/2337HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
COTAN 2.9.6  (landing page)
Galfrè Silvia Giulia
Snapshot Date: 2025-09-30 13:45 -0400 (Tue, 30 Sep 2025)
git_url: https://git.bioconductor.org/packages/COTAN
git_branch: devel
git_last_commit: 260f3bf
git_last_commit_date: 2025-09-26 15:15:57 -0400 (Fri, 26 Sep 2025)
nebbiolo2Linux (Ubuntu 24.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
lconwaymacOS 12.7.1 Monterey / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published
kjohnson3macOS 13.7.7 Ventura / arm64  OK    OK    OK    OK  UNNEEDED, same version is already published
taishanLinux (openEuler 24.03 LTS) / aarch64  OK    OK    OK  


CHECK results for COTAN on lconway

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: 2.9.6
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_2.9.6.tar.gz
StartedAt: 2025-09-30 20:28:26 -0400 (Tue, 30 Sep 2025)
EndedAt: 2025-09-30 20:50:28 -0400 (Tue, 30 Sep 2025)
EllapsedTime: 1322.3 seconds
RetCode: 0
Status:   OK  
CheckDir: COTAN.Rcheck
Warnings: 0

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_2.9.6.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.22-bioc/meat/COTAN.Rcheck’
* using R version 4.5.1 Patched (2025-09-10 r88807)
* using platform: x86_64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Monterey 12.7.6
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘COTAN/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘COTAN’ version ‘2.9.6’
* 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         115.896  2.572 117.810
CalculatingCOEX          54.586  1.050  55.897
HandlingClusterizations  43.151  1.110  43.934
HeatmapPlots             34.147  0.824  35.160
ParametersEstimations    22.947  0.696  23.751
GenesStatistics          10.983  0.204  11.225
COTAN_ObjectCreation     10.531  0.282  10.874
RawDataCleaning           5.043  0.278   5.175
Conversions               4.998  0.112   5.130
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘outputTestDatasetCreation.R’
  Running ‘spelling.R’
  Running ‘testthat.R’
 OK
* 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: OK


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/4.5-x86_64/Resources/library’
* installing *source* package ‘COTAN’ ...
** this is package ‘COTAN’ version ‘2.9.6’
** 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 version 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-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(1L:10L, 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-000030"),
+                        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 <- 0.8
+   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.path(testsDir, "split.clusters.test.RDS"))
+ 
+   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,
+                                           cores = 6L,
+                                           distance = "cosine",
+                                           hclustMethod = "ward.D2",
+                                           saveObj = FALSE)
+ 
+   merge.clusters.test <- mergedData[["clusters"]]
+   saveRDS(merge.clusters.test, file.path(testsDir, "merge.clusters.test.RDS"))
+ 
+   obj <- addClusterization(objCOTAN = obj,
+                            clName = "merge",
+                            clusters = mergedData[["clusters"]],
+                            coexDF = mergedData[["coex"]])
+ }
> 
> proc.time()
   user  system elapsed 
  0.264   0.089   0.350 

COTAN.Rcheck/tests/spelling.Rout


R version 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-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 
  0.211   0.086   0.285 

COTAN.Rcheck/tests/testthat.Rout


R version 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-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: 1.79262804985046
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: 2.56425905227661
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000600099563598633
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00700592994689941
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.857181072235107
Total calculations elapsed time: 3.42904615402222
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: 5.30543494224548
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: 0.850084066390991
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: 1.71510910987854
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: 0.902074098587036
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0295487661210321 | median:  0.016072261901129 | mean:  0.016072261901129
`nu` mean: 1.69786080481514
Marginal errors | max: 1.95799528047999 | 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: 1.71387314796448
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: 0.866261005401611
Estimate `nu`: DONE
`nu` change (abs) | max: 0.417150556912302 | median:  0.240156504520849 | mean:  0.240156504520849
`nu` mean: 0.823005947608547
Marginal errors | max: 0.837672524335753 | median 0.704691669139061 | mean: 0.646575831699996
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: 1.69157195091248
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: 0.889678001403809
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: 0.197565106613055
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: 1.77783393859863
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: 0.886673927307129
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: 1.69888210296631
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: 0.899029016494751
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: 0.0250296751521313
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: 1.7286069393158
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251734659898778 | max: 3.9096133246649 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.895127058029175
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 0.00972280144874116 | mean: 0.00889105008777609
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: 1.78489303588867
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: 0.863193988800049
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: 0.00327684342604062
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: 1.628751039505
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: 0.830728054046631
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: 0.00123030512553246
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: 1.67194414138794
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: 0.874594926834106
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: 0.000545906995079548
Total calculations elapsed time: 46.9055230617523
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: 1.76958799362183
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: 2.93015313148499
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.00118780136108398
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0043492317199707
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.844621896743774
Total calculations elapsed time: 3.78031206130981
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: 2.71210384368896
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.00110316276550293
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00235390663146973
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.879404067993164
Total calculations elapsed time: 3.5949649810791
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: 0.0145130157470703
Calculate `GDI`: DONE
Total calculations elapsed time: 2.74815988540649
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: 0.00270485877990723
Calculate `GDI`: DONE
Total calculations elapsed time: 2.67979192733765
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: 1.80813312530518
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: 1.73779082298279
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: 1.76122903823853
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: 2.80638098716736
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: 2.64671492576599
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: 2.7848858833313
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: 1.75560283660889
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: 0.876368045806885
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: 1.80015707015991
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: 0.891250848770142
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 0.677504196374578 | mean: 0.619386446933353
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: 1.8840548992157
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: 0.871612071990967
Estimate `nu`: DONE
`nu` change (abs) | max: 0.158004893526231 | median:  0.0919692884670312 | mean:  0.0919692884670312
`nu` mean: 1.0660356050592
Marginal errors | max: 0.250677002875358 | 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: 1.74053907394409
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: 0.857141017913818
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 0.0765360853958157 | mean: 0.069767303009408
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: 1.81109499931335
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: 0.949253082275391
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: 0.0239435763640454
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: 1.84927797317505
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251890641847532 | max: 3.90987172241566 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.916007995605469
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: 0.00834350038184297
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: 1.7745521068573
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: 0.899029016494751
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: 0.00286709489297508
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: 1.84444999694824
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: 0.870712995529175
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000837013154366462 | median:  0.000488281250000028 | mean:  0.000488281250000028
`nu` mean: 0.999651268095634
Marginal errors | max: 0.0014405532051498 | median 0.00119489364392944 | mean: 0.00109355439757195
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: 1.77145195007324
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255046800817985 | max: 3.91508667609651 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.875428915023804
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 0.000597284734240588 | mean: 0.000545899916522963
Total calculations elapsed time: 48.5482540130615
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: 2.70386791229248
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000514030456542969
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0021369457244873
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.897745132446289
Total calculations elapsed time: 3.6042640209198
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: 2.67013883590698
Calculating cells' COEX normalization factor
Calculate cells' normalization factor elapsed time: 0.000864982604980469
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00180816650390625
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.918700933456421
Total calculations elapsed time: 3.59151291847229
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: 0.00336194038391113
Calculate `GDI`: DONE
Total calculations elapsed time: 2.73328614234924
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: 7.36232995986938
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: 7.20830416679382
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: 3.64634418487549
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: 2.65062189102173
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.0010991096496582
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00176787376403809
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.91317892074585
Total calculations elapsed time: 3.56666779518127
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: 2.65734100341797
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000689983367919922
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00156211853027344
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.918545961380005
Total calculations elapsed time: 3.57813906669617
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: 7.36158394813538
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: 7.18014311790466
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: 3.64256405830383
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: 0.888146877288818
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: 3.506432056427
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: 0.884474992752075
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: 0.00132007186543017
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: 3.60996794700623
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: 0.863620042800903
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.68182247684001e-07 | mean: 5.57649710817287e-06
Total calculations elapsed time: 21.5660579204559
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: 2.70602989196777
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.00122308731079102
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00191903114318848
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.921705007553101
Total calculations elapsed time: 3.63087701797485
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: 7.26223611831665
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: 7.23899412155151
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: 3.60348296165466
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: 0.938524007797241
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: 3.69956493377686
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: 0.906920909881592
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: 0.00132007186543017
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: 3.73932409286499
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: 0.935425996780396
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.68182247684001e-07 | mean: 5.57649710817287e-06
Total calculations elapsed time: 21.8939669132233
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: 2.67155289649963
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000490188598632812
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00170278549194336
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.904349088668823
Total calculations elapsed time: 3.57809495925903
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: 6.41522192955017
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: 0.00291800498962402
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: 6.30076694488525
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: 6.30251693725586
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: 0.00336790084838867
Calculate `GDI`: DONE
Total calculations elapsed time: 2.87756991386414
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: 6.32037210464478
Calculating G: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00288701057434082
Calculate `GDI`: DONE
Total calculations elapsed time: 9.09605097770691
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: 0.00434589385986328
Calculate `GDI`: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00418400764465332
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 [1200] cells
Dataset cleaning elapsed time: 0.917500019073486
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.15212082862854
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.02250409126282
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: 3.34409594535828
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00907588005065918
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0482330322265625
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.944816112518311
Total calculations elapsed time: 4.34622097015381
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.3045117855072
Dataset analysis elapsed time: 9.24451589584351
COTAN dataset analysis: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1200
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1200] cells
Dataset cleaning elapsed time: 1.00743103027344
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.20955610275269
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.08289313316345
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: 3.32970905303955
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00676608085632324
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0481369495391846
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.866848945617676
Total calculations elapsed time: 4.25146102905273
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.15105986595154
Dataset analysis elapsed time: 9.24138402938843
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: 0.0278429985046387
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: 0.0312368869781494
Calculate `GDI`: DONE
Total calculations elapsed time: 2.79174304008484
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1200
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1200] cells
Dataset cleaning elapsed time: 0.884498834609985
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 1.98972296714783
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 2.8681972026825
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: 3.31195688247681
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00873899459838867
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0481009483337402
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.927136182785034
Total calculations elapsed time: 4.29593300819397
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.20506691932678
Dataset analysis elapsed time: 8.95776295661926
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: 0.0201339721679688
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: 0.0351529121398926
Calculate `GDI`: DONE
Total calculations elapsed time: 2.70516490936279
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1200
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1200] cells
Dataset cleaning elapsed time: 0.893884897232056
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.08053708076477
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.00015115737915
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: 3.3022449016571
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00645208358764648
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0442779064178467
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.891094923019409
Total calculations elapsed time: 4.24406981468201
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.11793279647827
Dataset analysis elapsed time: 9.01196885108948
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: 0.00623798370361328
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: 0.0304148197174072
Calculate `GDI`: DONE
Total calculations elapsed time: 2.76476407051086
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Asked to drop 0 genes and 1160 cells
COTAN dataset analysis: START
Asked to drop 31 genes and 0 cells
Genes/cells selection done: dropped [31] genes and [0] cells
Working on [569] genes and [40] cells
Dataset cleaning elapsed time: 0.911492109298706
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: 1.94783592224121
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.212044752677142 | max: 85.4528331044021 | % negative: 62.2144112478032
Model parameter estimation elapsed time: 2.84502100944519
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.882973909378052
Dataset analysis elapsed time: 4.63948702812195
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: 2.72869610786438
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0058140754699707
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00619387626647949
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.90217113494873
Total calculations elapsed time: 3.64287519454956
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: 2.74840307235718
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00752091407775879
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00639104843139648
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.932278871536255
Total calculations elapsed time: 3.69459390640259
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: 2.75028705596924
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00670289993286133
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00829005241394043
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.920686960220337
Total calculations elapsed time: 3.68596696853638
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: 0.00606107711791992
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 [1200] cells
Clean plots: START
PCA: START
PCA: DONE
Hierarchical clustering: START
Hierarchical clustering: DONE
Total calculations elapsed time: 2.02332019805908
Clean plots: DONE
Dataset cleaning elapsed time: 4.38584399223328
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.17927598953247
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.11314582824707
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: 3.56222891807556
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00682616233825684
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0456538200378418
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.925005197525024
Total calculations elapsed time: 4.53971409797668
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.56548595428467
Dataset analysis elapsed time: 13.064475774765
COTAN dataset analysis: DONE
Saving elaborated data locally at: /tmp/RtmpRajtBc/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: 3.13058996200562
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: 1200
Number of edges: 41850

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5751
Number of communities: 2
Elapsed time: 0 seconds
Number of clusters is too small. Reclustering at resolution higher than: 0.8
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1200
Number of edges: 41850

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3786
Number of communities: 7
Elapsed time: 0 seconds
2 singletons identified. 5 final clusters.
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 4.48142004013062
Creating new clusterization: DONE
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1200 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: 3.00635290145874
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: 1200
Number of edges: 29356

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5763
Number of communities: 2
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 0.8
Total calculations elapsed time: 5.44142985343933
Creating new clusterization: DONE
Creating PDF UMAP in file:  /tmp/RtmpRajtBc/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
20:46:13 UMAP embedding parameters a = 0.9922 b = 1.112
20:46:13 Read 1200 rows and found 65 numeric columns
20:46:13 Using Annoy for neighbor search, n_neighbors = 30
20:46:13 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:46:14 Writing NN index file to temp file /tmp/RtmpRajtBc/file98653a8ce17d
20:46:14 Searching Annoy index using 1 thread, search_k = 3000
20:46:14 Annoy recall = 100%
20:46:15 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:46:17 Initializing from normalized Laplacian + noise (using RSpectra)
20:46:17 Commencing optimization for 500 epochs, with 48472 positive edges
20:46:17 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:46:20 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.475998878479
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
20:46:20 UMAP embedding parameters a = 0.9922 b = 1.112
20:46:20 Read 1200 rows and found 65 numeric columns
20:46:20 Using Annoy for neighbor search, n_neighbors = 30
20:46:20 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:46:20 Writing NN index file to temp file /tmp/RtmpRajtBc/file98655fe8335b
20:46:20 Searching Annoy index using 1 thread, search_k = 3000
20:46:21 Annoy recall = 100%
20:46:22 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:46:24 Initializing from normalized Laplacian + noise (using RSpectra)
20:46:24 Commencing optimization for 500 epochs, with 48472 positive edges
20:46:24 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:46:27 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.49862599372864
UMAP plot: DONE
* checking uniformity of cluster '0' of 2 clusters
Asked to drop 0 genes and 587 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [613] cells
Dataset cleaning elapsed time: 0.986097097396851
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.07796096801758
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0334270578203965 | max: 8.68674670630126 | % negative: 4.16666666666667
Model parameter estimation elapsed time: 3.09293985366821
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: 3.22306203842163
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00737881660461426
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0398139953613281
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.985465049743652
Total calculations elapsed time: 4.25571990013123
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.18451809883118
Dataset analysis elapsed time: 9.26355504989624
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0000' with 613 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: 0.0311160087585449
Calculate `GDI`: DONE
Total calculations elapsed time: 2.88352012634277
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0411360263824463
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0000, with size 613, is uniform
Cluster 01_0000's shift to uniformity: -0.0159698218976119
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0333333333333333, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.38103017810239, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0233333333333333, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.42514299918547, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00333333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.4503882472624, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 2, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.5015551958585, isUniform = TRUE, clusterSize = 613
cluster 01_0000 is uniform

* checking uniformity of cluster '1' of 2 clusters
Asked to drop 0 genes and 613 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [587] cells
Dataset cleaning elapsed time: 0.999906778335571
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.03594899177551
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0383377991708709 | max: 19.013469852533 | % negative: 7
Model parameter estimation elapsed time: 3.03239512443542
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: 3.29651999473572
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0075840950012207
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0348038673400879
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.04616594314575
Total calculations elapsed time: 4.38507390022278
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.34867787361145
Dataset analysis elapsed time: 9.38097977638245
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 587 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: 0.0339500904083252
Calculate `GDI`: DONE
Total calculations elapsed time: 3.06525087356567
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0437018871307373
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 587, is uniform
Cluster 01_0001's shift to uniformity: -0.00930197949808731
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0433333333333333, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.38769802050191, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0316666666666667, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.42646635133469, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00833333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.46799318315158, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 5, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.52850104542575, isUniform = TRUE, clusterSize = 587
cluster 01_0001 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_0000, 01_0001
Differential Expression Analysis - START
* DEA on cluster '1' with 613 cells
* DEA on cluster '2' with 587 cells

Total calculations elapsed time: 0.0493111610412598
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 52.6833348274231
Creating cells' uniform clustering: DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Asked to drop 0 genes and 613 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [587] cells
Dataset cleaning elapsed time: 0.998950958251953
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.13732695579529
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0383377991708709 | max: 19.013469852533 | % negative: 7
Model parameter estimation elapsed time: 3.11957406997681
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: 3.1848611831665
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0072939395904541
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0358610153198242
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.996855974197388
Total calculations elapsed time: 4.22487211227417
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.21084594726562
Dataset analysis elapsed time: 9.32937097549438
COTAN dataset analysis: DONE
Checking uniformity for the cluster 'Cluster_2' with 587 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: 0.0368101596832275
Calculate `GDI`: DONE
Total calculations elapsed time: 3.05970001220703
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0476429462432861
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster Cluster_2, with size 587, is uniform
Cluster Cluster_2's shift to uniformity: -0.00930197949808731
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0433333333333333, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.38769802050191, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0316666666666667, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.42646635133469, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00833333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.46799318315158, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 5, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.52850104542575, isUniform = TRUE, clusterSize = 587
Differential Expression Analysis - START
* DEA on cluster '-1' with 50 cells
* DEA on cluster '1' with 611 cells
* DEA on cluster '2' with 539 cells

Total calculations elapsed time: 0.0535070896148682
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  2, 2  ->  1, -1  ->  -1
Applied reordering to clusterization is:
1  ->  1, 2  ->  2, -1  ->  -1
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1200 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
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: 0.0326879024505615
Calculate `GDI`: DONE
Total calculations elapsed time: 3.05191493034363
Calculate GDI dataframe: DONE
Included 186 genes with GDI below 1.3
Selected 600 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 6.02401399612427
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: 1200
Number of edges: 55489

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5973
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 0.8
Total calculations elapsed time: 7.14529609680176
Creating new clusterization: DONE
Using passed in clusterization
Creating PDF UMAP in file:  /tmp/RtmpRajtBc/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
20:47:25 UMAP embedding parameters a = 0.9922 b = 1.112
20:47:25 Read 1200 rows and found 40 numeric columns
20:47:25 Using Annoy for neighbor search, n_neighbors = 30
20:47:25 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:25 Writing NN index file to temp file /tmp/RtmpRajtBc/file98656cb3b746
20:47:25 Searching Annoy index using 1 thread, search_k = 3000
20:47:25 Annoy recall = 100%
20:47:26 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:47:28 Initializing from normalized Laplacian + noise (using RSpectra)
20:47:28 Commencing optimization for 500 epochs, with 42644 positive edges
20:47:28 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:31 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.19120717048645
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
20:47:31 UMAP embedding parameters a = 0.9922 b = 1.112
20:47:31 Read 1200 rows and found 40 numeric columns
20:47:31 Using Annoy for neighbor search, n_neighbors = 30
20:47:31 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:31 Writing NN index file to temp file /tmp/RtmpRajtBc/file98652f85ca53
20:47:31 Searching Annoy index using 1 thread, search_k = 3000
20:47:31 Annoy recall = 100%
20:47:32 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:47:34 Initializing from normalized Laplacian + noise (using RSpectra)
20:47:34 Commencing optimization for 500 epochs, with 42644 positive edges
20:47:34 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:37 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.40902018547058
UMAP plot: DONE
* checking uniformity of cluster '1' of 2 clusters
Asked to drop 0 genes and 600 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [600] cells
Dataset cleaning elapsed time: 1.0042781829834
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.07725095748901
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0387079873074399 | max: 19.3963889884382 | % negative: 6.5
Model parameter estimation elapsed time: 3.02012801170349
COTAN genes' COEX estimation: START
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: 3.16442799568176
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00902485847473145
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0311009883880615
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.960546016693115
Total calculations elapsed time: 4.16509985923767
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.16576790809631
Dataset analysis elapsed time: 9.1901741027832
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 600 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: 0.030109167098999
Calculate `GDI`: DONE
Total calculations elapsed time: 3.04636096954346
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0458989143371582
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 600, is uniform
Cluster 01_0001's shift to uniformity: -0.0123041937718968
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0383333333333333, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.3846958062281, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.035, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.42417208332107, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00666666666666667, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.45335006989431, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 4, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.51519118633036, isUniform = TRUE, clusterSize = 600
cluster 01_0001 is uniform

* checking uniformity of cluster '2' of 2 clusters
Asked to drop 0 genes and 600 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [600] cells
Dataset cleaning elapsed time: 0.92455792427063
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.09534311294556
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0329292435898063 | max: 10.0824885336881 | % negative: 3.66666666666667
Model parameter estimation elapsed time: 3.04257106781006
COTAN genes' COEX estimation: START
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: 3.27435398101807
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00847721099853516
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0394189357757568
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.968050003051758
Total calculations elapsed time: 4.29030013084412
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.23195886611938
Dataset analysis elapsed time: 9.19908785820007
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 600 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: 0.0292811393737793
Calculate `GDI`: DONE
Total calculations elapsed time: 2.70460295677185
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0443210601806641
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 600, is uniform
Cluster 01_0002's shift to uniformity: -0.0203364702469133
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0366666666666667, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37666352975309, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0316666666666667, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.42307834225193, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00333333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.43781655605474, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 2, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.50180130506577, isUniform = TRUE, clusterSize = 600
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 600 cells
* DEA on cluster '2' with 600 cells

Total calculations elapsed time: 0.0600621700286865
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 53.3228750228882
Creating cells' uniform clustering: DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 1.84418106079102
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.85426592826843
findClustersMarkers - DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 2.022057056427
Log Fold Change Analysis - DONE
Total calculations elapsed time: 2.03143501281738
findClustersMarkers - DONE
findClustersMarkers - START
Differential Expression Analysis - START
* DEA on cluster '1' with 613 cells
* DEA on cluster '2' with 587 cells

Total calculations elapsed time: 0.090785026550293
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 1.78315901756287
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.87956190109253
findClustersMarkers - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 587 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [613] cells
Dataset cleaning elapsed time: 0.984498023986816
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.1325740814209
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0334270578203965 | max: 8.68674670630126 | % negative: 4.16666666666667
Model parameter estimation elapsed time: 3.09778714179993
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: 3.25446701049805
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00848889350891113
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0657179355621338
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.02245807647705
Total calculations elapsed time: 4.35113191604614
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.36154198646545
Dataset analysis elapsed time: 9.4438271522522
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: 0.0315768718719482
Calculate `GDI`: DONE
Total calculations elapsed time: 3.0491931438446
Calculate GDI dataframe: DONE
[1] "Tested cluster: 2"
Asked to drop 0 genes and 613 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [587] cells
Dataset cleaning elapsed time: 1.03971695899963
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.02173495292664
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0383377991708709 | max: 19.013469852533 | % negative: 7
Model parameter estimation elapsed time: 3.00460386276245
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: 3.33419895172119
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00925898551940918
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0366320610046387
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.00453901290894
Total calculations elapsed time: 4.38462901115417
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.36079120635986
Dataset analysis elapsed time: 9.40511202812195
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: 0.0359840393066406
Calculate `GDI`: DONE
Total calculations elapsed time: 2.95060801506042
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 [1200] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.34090399742126
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1200] cells
Dataset cleaning elapsed time: 1.06554794311523
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.43792080879211
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.39797711372375
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.867626905441284
Dataset analysis elapsed time: 5.33115196228027
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-000558, g-000570, g-000499, g-000504, g-000546, g-000506, g-000503, g-000517, g-000596, g-000528 
	   g-000527, g-000580, g-000592, g-000578, g-000509, g-000488, g-000555, g-000577, g-000534, g-000583 
	   g-000598, g-000535, g-000512, g-000554, g-000519, g-000525, g-000548, g-000544, g-000502, g-000541 
Negative:  g-000133, g-000007, g-000074, g-000141, g-000057, g-000235, g-000170, g-000019, g-000195, g-000140 
	   g-000183, g-000031, g-000046, g-000178, g-000177, g-000161, g-000157, g-000139, g-000011, g-000135 
	   g-000125, g-000208, g-000061, g-000085, g-000204, g-000104, g-000237, g-000004, g-000038, g-000128 
PC_ 2 
Positive:  g-000584, g-000583, g-000544, g-000519, g-000575, g-000516, g-000585, g-000486, g-000489, g-000539 
	   g-000484, g-000502, g-000523, g-000595, g-000305, g-000574, g-000599, g-000589, g-000509, g-000538 
	   g-000526, g-000551, g-000579, g-000590, g-000445, g-000556, g-000543, g-000501, g-000504, g-000570 
Negative:  g-000039, g-000050, g-000175, g-000078, g-000116, g-000189, g-000135, g-000047, g-000072, g-000087 
	   g-000063, g-000235, g-000066, g-000109, g-000018, g-000074, g-000231, g-000136, g-000034, g-000207 
	   g-000128, g-000167, g-000171, g-000049, g-000182, g-000013, g-000054, g-000062, g-000240, g-000158 
PC_ 3 
Positive:  g-000015, g-000575, g-000483, g-000316, g-000025, g-000364, g-000050, g-000278, g-000443, g-000360 
	   g-000332, g-000124, g-000212, g-000387, g-000536, g-000252, g-000251, g-000321, g-000501, g-000470 
	   g-000582, g-000106, g-000455, g-000368, g-000081, g-000104, g-000437, g-000288, g-000386, g-000317 
Negative:  g-000211, g-000337, g-000129, g-000185, g-000397, g-000403, g-000253, g-000098, g-000390, g-000303 
	   g-000052, g-000088, g-000463, g-000468, g-000236, g-000209, g-000005, g-000375, g-000342, g-000262 
	   g-000388, g-000091, g-000413, g-000285, g-000003, g-000095, g-000142, g-000205, g-000432, g-000241 
PC_ 4 
Positive:  g-000334, g-000398, g-000292, g-000095, g-000097, g-000202, g-000382, g-000195, g-000007, g-000079 
	   g-000086, g-000240, g-000263, g-000317, g-000576, g-000557, g-000160, g-000154, g-000214, g-000228 
	   g-000313, g-000053, g-000524, g-000374, g-000568, g-000188, g-000358, g-000528, g-000362, g-000150 
Negative:  g-000379, g-000193, g-000212, g-000434, g-000593, g-000513, g-000177, g-000223, g-000069, g-000131 
	   g-000162, g-000345, g-000462, g-000484, g-000448, g-000229, g-000365, g-000302, g-000010, g-000366 
	   g-000051, g-000535, g-000269, g-000270, g-000155, g-000529, g-000373, g-000008, g-000393, g-000306 
PC_ 5 
Positive:  g-000518, g-000108, g-000186, g-000170, g-000401, g-000337, g-000047, g-000599, g-000432, g-000578 
	   g-000042, g-000065, g-000493, g-000261, g-000533, g-000256, g-000560, g-000596, g-000368, g-000381 
	   g-000535, g-000338, g-000215, g-000159, g-000365, g-000234, g-000173, g-000387, g-000225, g-000272 
Negative:  g-000451, g-000339, g-000295, g-000328, g-000544, g-000061, g-000227, g-000391, g-000556, g-000237 
	   g-000067, g-000165, g-000449, g-000591, g-000087, g-000129, g-000197, g-000203, g-000487, g-000505 
	   g-000333, g-000029, g-000271, g-000064, g-000583, g-000156, g-000448, g-000153, g-000526, g-000393 
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1200
Number of edges: 55940

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5920
Number of communities: 4
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 [1200] cells
Dataset cleaning elapsed time: 0.949526071548462
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.20941114425659
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.18796586990356
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.980536222457886
Dataset analysis elapsed time: 5.11802816390991
COTAN dataset analysis: DONE
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1200] cells
Dataset cleaning elapsed time: 0.986557960510254
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.28862190246582
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.25973701477051
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: 3.56803703308105
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00847387313842773
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0430171489715576
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.00269985198975
Total calculations elapsed time: 4.62222790718079
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.58534407615662
Dataset analysis elapsed time: 9.83163905143738
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: 0.00516009330749512
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: 0.010267972946167
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 6
Number of rows (U set): 60
Total calculations elapsed time: 1.04546999931335
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: 0.0104808807373047
calculating PValues: DONE
Number of selected secondary markers: 109
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00905704498291016
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 109
Number of rows (U set): 60
Total calculations elapsed time: 1.06538391113281
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: 0.0108349323272705
calculating PValues: DONE
Number of selected secondary markers: 109
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0123071670532227
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 109
Number of rows (U set): 60
Total calculations elapsed time: 1.12054491043091
Calculating gene co-expression space - DONE
Total calculations elapsed time: 1.20851898193359
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 [1200] cells
Dataset cleaning elapsed time: 1.00325202941895
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.20958113670349
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.14148902893066
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.939450979232788
Dataset analysis elapsed time: 5.0841920375824
COTAN dataset analysis: DONE
Differential Expression Analysis - START
* DEA on cluster '1' with 608 cells
* DEA on cluster '2' with 592 cells

Total calculations elapsed time: 0.0590789318084717
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 1.8828239440918
Log Fold Change Analysis - DONE
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.09087489420394
Handling cluster '2' with mean UDE 0.906669027574328
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 608 cells
* DEA on cluster '2' with 592 cells

Total calculations elapsed time: 0.0609550476074219
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 no genes or cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1200] cells
Dataset cleaning elapsed time: 0.925225973129272
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.19388794898987
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.05944800376892
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: 3.44768190383911
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00721192359924316
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0437109470367432
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.96655011177063
Total calculations elapsed time: 4.46515488624573
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.44110298156738
Dataset analysis elapsed time: 9.42577695846558
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge' with 1200 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: 0.0323030948638916
Calculate `GDI`: DONE
Total calculations elapsed time: 2.97911715507507
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0476241111755371
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge, with size 1200, is not uniform
Cluster 1_2-merge's shift to uniformity: 0.273171158219277
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.696666666666667, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.57017115821928, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.665, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.61241976619328, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.411666666666667, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.64049230721132, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 247, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.66511539543561, isUniform = FALSE, clusterSize = 1200
Clusters 1 and 2 cannot be merged
Finished the first batch - no merges were executed
Loop calculations elapsed time: 17.4503741264343
Start merging nearest clusters: iteration 2
Differential Expression Analysis - START
* DEA on cluster '1' with 608 cells
* DEA on cluster '2' with 592 cells

Total calculations elapsed time: 0.0491330623626709
Differential Expression Analysis - DONE
Updating check results for the 1 already tested pairs to align to new checker
0 new clusters pairs to be tested for merging:

No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.297 out of 1 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 608 cells
* DEA on cluster '2' with 592 cells

Total calculations elapsed time: 0.0519239902496338
Differential Expression Analysis - DONE
Updating check results for the 1 already tested pairs to align to new checker
0 new clusters pairs to be tested for merging:

No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.397 out of 1 checks
The final merged clusterization contains [2] different clusters: 1, 2
Differential Expression Analysis - START
* DEA on cluster '1' with 608 cells
* DEA on cluster '2' with 592 cells

Total calculations elapsed time: 0.0601770877838135
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 19.7404408454895
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: 2.02263212203979
Log Fold Change Analysis - DONE
[1] "Tested cluster: 1"
Asked to drop 0 genes and 592 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [608] cells
Dataset cleaning elapsed time: 0.997963905334473
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 1.95865297317505
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0337582853418583 | max: 10.9273420652533 | % negative: 4.33333333333333
Model parameter estimation elapsed time: 2.90249991416931
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: 3.29195094108582
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0081639289855957
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0374619960784912
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.953860998153687
Total calculations elapsed time: 4.29143786430359
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.25420308113098
Dataset analysis elapsed time: 9.15466690063477
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: 0.0374319553375244
Calculate `GDI`: DONE
Total calculations elapsed time: 3.03716993331909
Calculate GDI dataframe: DONE
[1] "Tested cluster: 2"
Asked to drop 0 genes and 608 cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [592] cells
Dataset cleaning elapsed time: 0.968024015426636
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 4 iterations
Total calculations elapsed time: 2.03452396392822
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0390500444479481 | max: 19.2061656068405 | % negative: 7.33333333333333
Model parameter estimation elapsed time: 3.00000905990601
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: 3.2127959728241
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00844097137451172
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0361120700836182
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.73504090309143
Total calculations elapsed time: 4.99238991737366
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 7.06005907058716
Dataset analysis elapsed time: 11.0280921459198
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: 0.063291072845459
Calculate `GDI`: DONE
Total calculations elapsed time: 3.70287489891052
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 0 | WARN 3 | SKIP 0 | PASS 572 ]

[ FAIL 0 | WARN 3 | SKIP 0 | PASS 572 ]
> 
> proc.time()
   user  system elapsed 
648.147  10.010 665.322 

Example timings

COTAN.Rcheck/COTAN-Ex.timings

nameusersystemelapsed
COTAN_Legacy0.0020.0010.005
COTAN_ObjectCreation10.531 0.28210.874
CalculatingCOEX54.586 1.05055.897
ClustersList0.0100.0030.013
Conversions4.9980.1125.130
GenesStatistics10.983 0.20411.225
HandleMetaData0.0960.0050.102
HandlingClusterizations43.151 1.11043.934
HandlingConditions0.1170.0060.123
HeatmapPlots34.147 0.82435.160
Installing_torch0.0010.0000.002
LoggingFunctions0.0030.0010.004
ParametersEstimations22.947 0.69623.751
RawDataCleaning5.0430.2785.175
RawDataGetters0.1020.0060.108
UniformClusters115.896 2.572117.810
getColorsVector0.0010.0140.001