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This page was generated on 2025-09-30 12:04 -0400 (Tue, 30 Sep 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: 2025-09-29 13:45 -0400 (Mon, 29 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: 2025-09-29 20:27:53 -0400 (Mon, 29 Sep 2025)
EndedAt: 2025-09-29 20:50:21 -0400 (Mon, 29 Sep 2025)
EllapsedTime: 1348.3 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         118.705  2.609 120.589
CalculatingCOEX          56.482  1.054  57.811
HandlingClusterizations  44.019  1.109  44.776
HeatmapPlots             35.230  0.838  36.299
ParametersEstimations    23.751  0.659  24.508
GenesStatistics          11.274  0.327  11.507
COTAN_ObjectCreation     10.898  0.300  11.277
RawDataCleaning           5.149  0.293   5.273
Conversions               5.173  0.118   5.313
* 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 
  0.234   0.084   0.324 

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 
  0.223   0.085   0.309 

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: 1.90905690193176
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: 2.65683484077454
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000728130340576172
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00667190551757812
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.946455955505371
Total calculations elapsed time: 3.61069083213806
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: 5.41276907920837
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: 0.935951948165894
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: 1.82177686691284
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: 0.924402952194214
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: 1.87409400939941
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: 0.866082906723022
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: 1.7876091003418
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: 0.940165996551514
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: 1.81749200820923
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: 0.929435968399048
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: 1.72816586494446
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: 0.862774848937988
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: 1.94309496879578
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: 0.911191940307617
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: 1.85480117797852
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: 0.883843898773193
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: 1.84518003463745
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: 0.8784019947052
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: 1.78165292739868
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: 0.869134902954102
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: 48.4826250076294
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: 1.71139001846313
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: 2.8216450214386
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.00113701820373535
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00353598594665527
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.895201921463013
Total calculations elapsed time: 3.721519947052
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: 2.81147289276123
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000793933868408203
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00225305557250977
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.967931032180786
Total calculations elapsed time: 3.78245091438293
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: 0.0132241249084473
Calculate `GDI`: DONE
Total calculations elapsed time: 2.91622400283813
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: 0.00352907180786133
Calculate `GDI`: DONE
Total calculations elapsed time: 2.71953797340393
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: 1.8525710105896
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: 1.89503383636475
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: 1.73545980453491
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: 2.85856199264526
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: 2.72799801826477
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: 2.89748501777649
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: 1.83367800712585
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: 0.936422824859619
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: 1.7757408618927
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: 0.855625867843628
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: 1.8647301197052
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: 0.956387042999268
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: 1.79103589057922
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: 0.922271013259888
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: 1.81977891921997
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: 0.944828987121582
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: 1.79600596427917
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: 0.894076108932495
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: 1.80935096740723
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: 0.898966073989868
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: 1.79515314102173
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: 0.888991832733154
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: 1.82311606407166
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: 0.914741039276123
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: 49.2933819293976
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: 2.74023485183716
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000614166259765625
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00201892852783203
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.914609909057617
Total calculations elapsed time: 3.65747785568237
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: 2.89856100082397
Calculating cells' COEX normalization factor
Calculate cells' normalization factor elapsed time: 0.000793933868408203
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00206112861633301
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.963629961013794
Total calculations elapsed time: 3.86504602432251
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: 0.00388193130493164
Calculate `GDI`: DONE
Total calculations elapsed time: 2.82295918464661
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: 7.28336405754089
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: 7.26191401481628
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: 3.69422006607056
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: 2.73706197738647
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.0028080940246582
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00304698944091797
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.959722995758057
Total calculations elapsed time: 3.70264005661011
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: 2.71545505523682
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000789165496826172
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00201797485351562
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.958807945251465
Total calculations elapsed time: 3.67707014083862
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: 7.41200494766235
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: 7.31961703300476
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: 3.80124497413635
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: 0.949311017990112
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: 3.71349096298218
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: 1.00716280937195
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: 3.78949499130249
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: 0.954739093780518
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: 22.4729909896851
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: 2.82659912109375
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000986814498901367
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00205707550048828
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.906499147415161
Total calculations elapsed time: 3.7361421585083
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: 7.2981481552124
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: 7.39421606063843
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: 3.82176399230957
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: 0.918424129486084
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: 3.66904401779175
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: 0.963686943054199
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: 3.7399320602417
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: 0.954087972640991
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: 22.4506850242615
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: 2.93835806846619
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000739097595214844
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00195503234863281
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.93184494972229
Total calculations elapsed time: 3.87289714813232
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: 6.8133909702301
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: 0.00257611274719238
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: 6.47977900505066
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: 6.48120284080505
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: 0.00315999984741211
Calculate `GDI`: DONE
Total calculations elapsed time: 2.731929063797
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: 6.57024908065796
Calculating G: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00393509864807129
Calculate `GDI`: DONE
Total calculations elapsed time: 9.29337477684021
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: 0.00540280342102051
Calculate `GDI`: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00339007377624512
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: 0.906427145004272
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: 2.13617491722107
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.07207083702087
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: 3.49935793876648
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0102460384368896
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.046375036239624
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.927855014801025
Total calculations elapsed time: 4.48383402824402
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.38555717468262
Dataset analysis elapsed time: 9.36405515670776
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: 0.930150032043457
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: 2.07581901550293
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 2.97728180885315
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: 3.33875584602356
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00681114196777344
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0481069087982178
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.915836095809937
Total calculations elapsed time: 4.30950999259949
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.19102907180786
Dataset analysis elapsed time: 9.09846091270447
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: 0.0229029655456543
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: 0.0327699184417725
Calculate `GDI`: DONE
Total calculations elapsed time: 2.75299620628357
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: 0.966152906417847
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: 2.07017207145691
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.00365304946899
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: 3.44134593009949
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00735998153686523
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0505921840667725
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.928251981735229
Total calculations elapsed time: 4.42755007743835
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.40048503875732
Dataset analysis elapsed time: 9.37029099464417
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: 0.0160398483276367
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: 0.0325031280517578
Calculate `GDI`: DONE
Total calculations elapsed time: 2.85796189308167
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: 0.968214988708496
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: 2.07868719100952
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.01400303840637
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: 3.4076099395752
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00723600387573242
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0457570552825928
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.91485595703125
Total calculations elapsed time: 4.37545895576477
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.32270693778992
Dataset analysis elapsed time: 9.30492496490479
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: 0.00927519798278809
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: 0.0320460796356201
Calculate `GDI`: DONE
Total calculations elapsed time: 2.83145189285278
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: 0.992249011993408
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: 1.86202788352966
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.212044752677142 | max: 85.4528331044021 | % negative: 62.2144112478032
Model parameter estimation elapsed time: 2.81776189804077
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.930504083633423
Dataset analysis elapsed time: 4.7405149936676
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: 2.84586691856384
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00561308860778809
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00819587707519531
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.918256998062134
Total calculations elapsed time: 3.77793288230896
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: 2.97199702262878
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00975894927978516
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00926995277404785
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.975464105606079
Total calculations elapsed time: 3.9664900302887
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: 2.84180903434753
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00708794593811035
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00665497779846191
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.928436994552612
Total calculations elapsed time: 3.78398895263672
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: 0.0049140453338623
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: 2.16092681884766
Clean plots: DONE
Dataset cleaning elapsed time: 4.64926695823669
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: 2.16260600090027
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.10049200057983
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: 3.49365615844727
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00686001777648926
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0527999401092529
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.939307928085327
Total calculations elapsed time: 4.49262404441833
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.49245190620422
Dataset analysis elapsed time: 13.2422108650208
COTAN dataset analysis: DONE
Saving elaborated data locally at: /tmp/RtmpfSNsRO/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: 3.21140599250793
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: 4.61203694343567
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: 3.33509302139282
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: 4.41592502593994
Creating new clusterization: DONE
Creating PDF UMAP in file:  /tmp/RtmpfSNsRO/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
20:45:59 UMAP embedding parameters a = 0.9922 b = 1.112
20:45:59 Read 1200 rows and found 65 numeric columns
20:45:59 Using Annoy for neighbor search, n_neighbors = 30
20:45:59 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:45:59 Writing NN index file to temp file /tmp/RtmpfSNsRO/file17565829b052
20:45:59 Searching Annoy index using 1 thread, search_k = 3000
20:46:00 Annoy recall = 100%
20:46:01 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:46:03 Initializing from normalized Laplacian + noise (using RSpectra)
20:46:03 Commencing optimization for 500 epochs, with 48472 positive edges
20:46:03 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:46:06 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.66609787940979
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
20:46:06 UMAP embedding parameters a = 0.9922 b = 1.112
20:46:06 Read 1200 rows and found 65 numeric columns
20:46:06 Using Annoy for neighbor search, n_neighbors = 30
20:46:06 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:46:06 Writing NN index file to temp file /tmp/RtmpfSNsRO/file17561565588
20:46:06 Searching Annoy index using 1 thread, search_k = 3000
20:46:07 Annoy recall = 100%
20:46:08 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:46:10 Initializing from normalized Laplacian + noise (using RSpectra)
20:46:10 Commencing optimization for 500 epochs, with 48472 positive edges
20:46:10 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:46:12 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 5.99167203903198
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: 0.988336086273193
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: 2.12198781967163
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0334270578203965 | max: 8.68674670630126 | % negative: 4.16666666666667
Model parameter estimation elapsed time: 3.12678694725037
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: 3.36274290084839
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0080571174621582
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0349879264831543
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.04999613761902
Total calculations elapsed time: 4.45578408241272
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.45699000358582
Dataset analysis elapsed time: 9.57211303710938
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: 0.0351290702819824
Calculate `GDI`: DONE
Total calculations elapsed time: 3.10981702804565
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0436620712280273
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: 0.984719038009644
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: 2.06884002685547
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0383377991708709 | max: 19.013469852533 | % negative: 7
Model parameter estimation elapsed time: 3.07755708694458
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: 3.31511402130127
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00677084922790527
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0362160205841064
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.01944994926453
Total calculations elapsed time: 4.37755084037781
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.37786793708801
Dataset analysis elapsed time: 9.44014406204224
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: 0.0337409973144531
Calculate `GDI`: DONE
Total calculations elapsed time: 3.15252113342285
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0495328903198242
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: 0.0588250160217285
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 52.531849861145
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: 1.01683211326599
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: 2.23499298095703
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0383377991708709 | max: 19.013469852533 | % negative: 7
Model parameter estimation elapsed time: 3.31936097145081
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: 3.38444781303406
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00712203979492188
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0356781482696533
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.04689383506775
Total calculations elapsed time: 4.47414183616638
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.53389883041382
Dataset analysis elapsed time: 9.87009191513062
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: 0.033581018447876
Calculate `GDI`: DONE
Total calculations elapsed time: 3.04449200630188
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0443899631500244
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: 0.0554759502410889
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: 0.0363149642944336
Calculate `GDI`: DONE
Total calculations elapsed time: 3.19223093986511
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: 6.10132598876953
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: 7.07435297966003
Creating new clusterization: DONE
Using passed in clusterization
Creating PDF UMAP in file:  /tmp/RtmpfSNsRO/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
20:47:12 UMAP embedding parameters a = 0.9922 b = 1.112
20:47:12 Read 1200 rows and found 40 numeric columns
20:47:12 Using Annoy for neighbor search, n_neighbors = 30
20:47:12 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:12 Writing NN index file to temp file /tmp/RtmpfSNsRO/file17567015c290
20:47:12 Searching Annoy index using 1 thread, search_k = 3000
20:47:12 Annoy recall = 100%
20:47:13 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:47:15 Initializing from normalized Laplacian + noise (using RSpectra)
20:47:15 Commencing optimization for 500 epochs, with 42644 positive edges
20:47:15 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:18 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.33555793762207
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
20:47:18 UMAP embedding parameters a = 0.9922 b = 1.112
20:47:18 Read 1200 rows and found 40 numeric columns
20:47:18 Using Annoy for neighbor search, n_neighbors = 30
20:47:18 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:19 Writing NN index file to temp file /tmp/RtmpfSNsRO/file175625af19e0
20:47:19 Searching Annoy index using 1 thread, search_k = 3000
20:47:19 Annoy recall = 100%
20:47:20 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
20:47:22 Initializing from normalized Laplacian + noise (using RSpectra)
20:47:22 Commencing optimization for 500 epochs, with 42644 positive edges
20:47:22 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
20:47:24 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 6.16120100021362
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: 0.974163055419922
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: 2.08949112892151
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0387079873074399 | max: 19.3963889884382 | % negative: 6.5
Model parameter estimation elapsed time: 3.14442181587219
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: 3.38901591300964
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00778508186340332
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0661869049072266
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.978131055831909
Total calculations elapsed time: 4.44111895561218
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.35256314277649
Dataset analysis elapsed time: 9.4711480140686
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: 0.0399320125579834
Calculate `GDI`: DONE
Total calculations elapsed time: 2.8502049446106
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0503299236297607
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: 0.987932920455933
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: 2.20185112953186
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0329292435898063 | max: 10.0824885336881 | % negative: 3.66666666666667
Model parameter estimation elapsed time: 3.16455411911011
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: 3.2811758518219
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.007843017578125
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0473330020904541
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.972951173782349
Total calculations elapsed time: 4.30930304527283
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.33869886398315
Dataset analysis elapsed time: 9.49118590354919
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: 0.0370969772338867
Calculate `GDI`: DONE
Total calculations elapsed time: 2.99004507064819
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0550689697265625
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: 0.0544250011444092
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 54.1113409996033
Creating cells' uniform clustering: DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 1.9404890537262
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.9525990486145
findClustersMarkers - DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 2.01529121398926
Log Fold Change Analysis - DONE
Total calculations elapsed time: 2.02347898483276
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: 0.0584540367126465
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 2.06098604202271
Log Fold Change Analysis - DONE
Total calculations elapsed time: 2.12713003158569
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: 1.0749659538269
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: 2.19878506660461
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0334270578203965 | max: 8.68674670630126 | % negative: 4.16666666666667
Model parameter estimation elapsed time: 3.23763513565063
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: 3.56380295753479
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00855898857116699
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0475730895996094
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.0614321231842
Total calculations elapsed time: 4.68136715888977
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.73440885543823
Dataset analysis elapsed time: 10.0470099449158
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: 0.035707950592041
Calculate `GDI`: DONE
Total calculations elapsed time: 3.19670295715332
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: 0.983576059341431
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: 2.19418001174927
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0383377991708709 | max: 19.013469852533 | % negative: 7
Model parameter estimation elapsed time: 3.17287993431091
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: 3.5176830291748
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00984501838684082
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0403070449829102
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.0171058177948
Total calculations elapsed time: 4.58494091033936
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.61017394065857
Dataset analysis elapsed time: 9.76662993431091
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: 0.0388448238372803
Calculate `GDI`: DONE
Total calculations elapsed time: 2.97200107574463
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: 2.23265504837036
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: 1.04205298423767
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: 2.26318001747131
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.35245013237
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 1.02146482467651
Dataset analysis elapsed time: 5.41596794128418
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: 1.02763700485229
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: 2.2054488658905
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.15870380401611
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.909050226211548
Dataset analysis elapsed time: 5.09539103507996
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: 0.956305980682373
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: 2.18983316421509
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.12026691436768
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: 3.58605098724365
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0116071701049805
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0488369464874268
Estimating genes' COEX
Calculate genes' COEX elapsed time: 1.02103185653687
Total calculations elapsed time: 4.66752696037292
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.61117005348206
Dataset analysis elapsed time: 9.6877429485321
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: 0.0106258392333984
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: 0.00965404510498047
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 6
Number of rows (U set): 60
Total calculations elapsed time: 1.03583002090454
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: 0.00722813606262207
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: 0.00925493240356445
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 109
Number of rows (U set): 60
Total calculations elapsed time: 0.963701009750366
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: 0.00725507736206055
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: 0.0097200870513916
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 109
Number of rows (U set): 60
Total calculations elapsed time: 1.02491998672485
Calculating gene co-expression space - DONE
Total calculations elapsed time: 1.10460495948792
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: 0.934695959091187
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: 2.24615502357483
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.24875211715698
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.975149869918823
Dataset analysis elapsed time: 5.15859794616699
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: 0.0559759140014648
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 1.99098992347717
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: 0.0481679439544678
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: 0.971883058547974
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: 2.25057196617126
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.219880139527933 | max: 6.08024473714308 | % negative: 0
Model parameter estimation elapsed time: 3.21385192871094
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: 3.56912899017334
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00770807266235352
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0462119579315186
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.997392892837524
Total calculations elapsed time: 4.62044191360474
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.60051298141479
Dataset analysis elapsed time: 9.78624796867371
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: 0.0317111015319824
Calculate `GDI`: DONE
Total calculations elapsed time: 3.05424404144287
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0472259521484375
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: 18.1303420066833
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: 0.0541450977325439
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: 0.0630471706390381
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: 0.120198011398315
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 21.4280169010162
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: 3.64699602127075
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: 0.864362955093384
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: 2.02530312538147
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0337582853418583 | max: 10.9273420652533 | % negative: 4.33333333333333
Model parameter estimation elapsed time: 2.96776795387268
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: 3.2576858997345
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0063941478729248
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.220961809158325
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.985485076904297
Total calculations elapsed time: 4.47052693367004
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.50333714485168
Dataset analysis elapsed time: 9.33546805381775
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: 0.033062219619751
Calculate `GDI`: DONE
Total calculations elapsed time: 3.09652304649353
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: 1.03667688369751
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: 2.12657499313354
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0390500444479481 | max: 19.2061656068405 | % negative: 7.33333333333333
Model parameter estimation elapsed time: 3.1039731502533
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: 3.26946997642517
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00813889503479004
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0363790988922119
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.979676961898804
Total calculations elapsed time: 4.29366493225098
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 5.26894998550415
Dataset analysis elapsed time: 9.40960001945496
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: 0.0361740589141846
Calculate `GDI`: DONE
Total calculations elapsed time: 3.04625916481018
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 
663.314   9.973 680.531 

Example timings

COTAN.Rcheck/COTAN-Ex.timings

nameusersystemelapsed
COTAN_Legacy0.0020.0020.003
COTAN_ObjectCreation10.898 0.30011.277
CalculatingCOEX56.482 1.05457.811
ClustersList0.0100.0020.012
Conversions5.1730.1185.313
GenesStatistics11.274 0.32711.507
HandleMetaData0.0960.0110.113
HandlingClusterizations44.019 1.10944.776
HandlingConditions0.1250.0070.133
HeatmapPlots35.230 0.83836.299
Installing_torch0.0000.0010.001
LoggingFunctions0.0020.0010.004
ParametersEstimations23.751 0.65924.508
RawDataCleaning5.1490.2935.273
RawDataGetters0.0900.0060.098
UniformClusters118.705 2.609120.589
getColorsVector0.0030.0190.002