Galfrè Silvia Giulia
| Snapshot Date: 2024-06-09 14:00 -0400 (Sun, 09 Jun 2024) |
| git_url: https://git.bioconductor.org/packages/COTAN |
| git_branch: RELEASE_3_19 |
| git_last_commit: 17886ff |
| git_last_commit_date: 2024-06-03 17:30:58 -0400 (Mon, 03 Jun 2024) |
| Back to Multiple platform build/check report for BioC 3.19: simplified long |
|
This page was generated on 2024-06-11 14:43 -0400 (Tue, 11 Jun 2024).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 22.04.3 LTS) | x86_64 | 4.4.0 (2024-04-24) -- "Puppy Cup" | 4757 |
| palomino3 | Windows Server 2022 Datacenter | x64 | 4.4.0 (2024-04-24 ucrt) -- "Puppy Cup" | 4491 |
| lconway | macOS 12.7.1 Monterey | x86_64 | 4.4.0 (2024-04-24) -- "Puppy Cup" | 4522 |
| kjohnson3 | macOS 13.6.5 Ventura | arm64 | 4.4.0 (2024-04-24) -- "Puppy Cup" | 4468 |
| 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 449/2300 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| COTAN 2.4.2 (landing page) Galfrè Silvia Giulia
| nebbiolo1 | Linux (Ubuntu 22.04.3 LTS) / x86_64 | OK | OK | OK | | ||||||||
| palomino3 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | | ||||||||
| lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | OK | OK | | ||||||||
| kjohnson3 | macOS 13.6.5 Ventura / arm64 | OK | OK | TIMEOUT | OK | |||||||||
|
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. |
| Package: COTAN |
| Version: 2.4.2 |
| 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_2.4.2.tar.gz |
| StartedAt: 2024-06-10 11:50:11 -0400 (Mon, 10 Jun 2024) |
| EndedAt: 2024-06-10 12:30:12 -0400 (Mon, 10 Jun 2024) |
| EllapsedTime: 2401.0 seconds |
| RetCode: None |
| Status: TIMEOUT |
| CheckDir: COTAN.Rcheck |
| Warnings: NA |
##############################################################################
##############################################################################
###
### 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_2.4.2.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/Users/biocbuild/bbs-3.19-bioc/meat/COTAN.Rcheck’
* using R version 4.4.0 (2024-04-24)
* using platform: aarch64-apple-darwin20
* R was compiled by
Apple clang version 14.0.0 (clang-1400.0.29.202)
GNU Fortran (GCC) 12.2.0
* running under: macOS Ventura 13.6.5
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘COTAN/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘COTAN’ version ‘2.4.2’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* 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 dependencies in R code ... NOTE
'library' or 'require' call to ‘torch’ in package code.
Please use :: or requireNamespace() instead.
See section 'Suggested packages' in the 'Writing R Extensions' manual.
Unexported object imported by a ':::' call: ‘ggplot2:::ggname’
See the note in ?`:::` about the use of this operator.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
GDIPlot: no visible binding for global variable ‘sum.raw.norm’
GDIPlot: no visible binding for global variable ‘GDI’
UMAPPlot: no visible binding for global variable ‘x’
UMAPPlot: no visible binding for global variable ‘y’
calculateCoex_Legacy: no visible binding for global variable
‘expectedNN’
calculateCoex_Legacy: no visible binding for global variable
‘expectedNY’
calculateCoex_Legacy: no visible binding for global variable
‘expectedYN’
calculateCoex_Legacy: no visible binding for global variable
‘expectedYY’
calculateCoex_Legacy: no visible binding for global variable
‘observedYY’
calculateCoex_Legacy: no visible binding for global variable ‘.’
calculateG: no visible binding for global variable ‘observedNN’
calculateG: no visible binding for global variable ‘observedNY’
calculateG: no visible binding for global variable ‘observedYN’
calculateG: no visible binding for global variable ‘observedYY’
calculateG: no visible binding for global variable ‘expectedNN’
calculateG: no visible binding for global variable ‘expectedNY’
calculateG: no visible binding for global variable ‘expectedYN’
calculateG: no visible binding for global variable ‘expectedYY’
calculatePartialCoex: no visible binding for global variable
‘expectedNN’
calculatePartialCoex: no visible binding for global variable
‘expectedNY’
calculatePartialCoex: no visible binding for global variable
‘expectedYN’
calculatePartialCoex: no visible binding for global variable
‘expectedYY’
calculatePartialCoex: no visible binding for global variable
‘observedYY’
calculatePartialCoex: no visible binding for global variable ‘.’
cellsUniformClustering: no visible binding for global variable
‘objSeurat’
cellsUniformClustering: no visible binding for global variable
‘usedMaxResolution’
cellsUniformClustering: no visible binding for global variable
‘permMap’
checkClusterUniformity: ... may be used in an incorrect context:
‘c(..., nuPlot, zoomedNuPlot)’
checkClusterUniformity: no visible binding for global variable ‘nuPlot’
checkClusterUniformity: no visible binding for global variable
‘zoomedNuPlot’
cleanPlots: no visible binding for global variable ‘PC1’
cleanPlots: no visible binding for global variable ‘PC2’
cleanPlots: no visible binding for global variable ‘n’
cleanPlots: no visible binding for global variable ‘means’
cleanPlots: no visible binding for global variable ‘nu’
clustersMarkersHeatmapPlot: no visible binding for global variable
‘condName’
clustersMarkersHeatmapPlot: no visible binding for global variable
‘conditions’
clustersSummaryPlot: no visible binding for global variable ‘keys’
clustersSummaryPlot: no visible binding for global variable ‘values’
clustersSummaryPlot: no visible binding for global variable
‘CellNumber’
clustersSummaryPlot: no visible binding for global variable ‘ExpGenes’
clustersSummaryPlot: no visible binding for global variable ‘Cluster’
clustersSummaryPlot: no visible binding for global variable ‘Condition’
establishGenesClusters: no visible binding for global variable
‘secondaryMarkers’
establishGenesClusters: no visible binding for global variable ‘GCS’
establishGenesClusters: no visible binding for global variable
‘rankGenes’
expectedContingencyTables: no visible binding for global variable
‘expectedN’
expectedPartialContingencyTables: no visible binding for global
variable ‘expectedNN’
expectedPartialContingencyTables: no visible binding for global
variable ‘expectedN’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘group’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘y’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘x’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘width’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘violinwidth’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘xmax’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘xminv’
geom_flat_violin : <anonymous>: no visible binding for global variable
‘xmaxv’
heatmapPlot: no visible binding for global variable ‘g2’
mergeUniformCellsClusters : testPairListMerge: no visible binding for
global variable ‘cl1’
mergeUniformCellsClusters : testPairListMerge: no visible binding for
global variable ‘cl2’
mergeUniformCellsClusters: no visible binding for global variable
‘permMap’
mitochondrialPercentagePlot: no visible binding for global variable
‘mit.percentage’
observedContingencyTables: no visible binding for global variable
‘observedY’
observedPartialContingencyTables: no visible binding for global
variable ‘observedYY’
observedPartialContingencyTables: no visible binding for global
variable ‘observedY’
scatterPlot: no visible binding for global variable ‘.x’
calculateCoex,COTAN: no visible binding for global variable ‘useTorch’
coerce,COTAN-scCOTAN: no visible binding for global variable ‘rawNorm’
coerce,COTAN-scCOTAN: no visible binding for global variable ‘nu’
coerce,COTAN-scCOTAN: no visible binding for global variable ‘lambda’
coerce,COTAN-scCOTAN: no visible binding for global variable ‘a’
coerce,COTAN-scCOTAN: no visible binding for global variable ‘hk’
coerce,COTAN-scCOTAN: no visible binding for global variable ‘clusters’
coerce,COTAN-scCOTAN: no visible binding for global variable
‘clusterData’
Undefined global functions or variables:
. .x CellNumber Cluster Condition ExpGenes GCS GDI PC1 PC2 a cl1 cl2
clusterData clusters condName conditions expectedN expectedNN
expectedNY expectedYN expectedYY g2 group hk keys lambda means
mit.percentage n nu nuPlot objSeurat observedNN observedNY observedY
observedYN observedYY permMap rankGenes rawNorm secondaryMarkers
sum.raw.norm useTorch usedMaxResolution values violinwidth width x
xmax xmaxv xminv y zoomedNuPlot
* 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 230.972 2.350 350.093
CalculatingCOEX 82.375 1.272 131.505
HeatmapPlots 60.606 1.603 100.802
ParametersEstimations 37.048 0.822 56.542
HandlingClusterizations 25.840 0.511 41.273
GenesStatistics 15.645 0.242 25.177
COTANObjectCreation 14.331 0.283 21.793
RawDataCleaning 8.671 0.191 13.643
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘outputTestDatasetCreation.R’
Running ‘spelling.R’
Running ‘testthat.R’
COTAN.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL COTAN ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library’ * installing *source* package ‘COTAN’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context ** 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)
COTAN.Rcheck/tests/outputTestDatasetCreation.Rout
R version 4.4.0 (2024-04-24) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
>
> # Creates the files to be reloaded by the tests for comparisons
> library(zeallot)
>
> outputTestDatasetCreation <- function(testsDir = file.path("tests",
+ "testthat")) {
+ utils::data("test.dataset", package = "COTAN")
+ options(parallelly.fork.enable = TRUE)
+
+ obj <- COTAN(raw = test.dataset)
+ obj <- initializeMetaDataset(obj, GEO = " ",
+ sequencingMethod = "artificial",
+ sampleCondition = "test")
+
+ obj <- proceedToCoex(obj, cores = 6L, saveObj = FALSE)
+ #saveRDS(obj, file = file.path(testsDir,"temp.RDS"))
+
+ cells.names.test <- getCells(obj)[c(1L:10L, 591L:610L, 991L:1000L)]
+ genes.names.test <- getGenes(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"))
+
+ dispersion.test <- getDispersion(obj)[genes.names.test]
+ saveRDS(dispersion.test, file.path(testsDir, "dispersion.test.RDS"))
+
+ raw.norm.test <- getNormalizedData(obj)[genes.names.test, cells.names.test]
+ saveRDS(raw.norm.test, file.path(testsDir, "raw.norm.test.RDS"))
+
+ coex.test <- getGenesCoex(obj, genes = genes.names.test, zeroDiagonal = FALSE)
+ saveRDS(coex.test, file.path(testsDir, "coex.test.RDS"))
+
+ lambda.test <- getLambda(obj)[genes.names.test]
+ saveRDS(lambda.test, file.path(testsDir, "lambda.test.RDS"))
+
+ GDI.test <- calculateGDI(obj)
+ GDI.test <- GDI.test[genes.names.test, ]
+ saveRDS(GDI.test, file.path(testsDir, "GDI.test.RDS"))
+
+ nu.test <- getNu(obj)[cells.names.test]
+ saveRDS(nu.test, file.path(testsDir, "nu.test.RDS"))
+
+ pval.test <- calculatePValue(obj, geneSubsetCol = genes.names.test)
+ saveRDS(pval.test, file.path(testsDir, "pval.test.RDS"))
+
+ GDIThreshold <- 1.46
+ initialResolution <- 0.8
+
+ clusters <- cellsUniformClustering(obj, GDIThreshold = GDIThreshold,
+ initialResolution = initialResolution,
+ cores = 6L, saveObj = FALSE)[["clusters"]]
+ saveRDS(clusters, file.path(testsDir, "clusters1.RDS"))
+
+ coexDF <- DEAOnClusters(obj, clusters = clusters)
+ obj <- addClusterization(obj, clName = "clusters",
+ clusters = clusters, coexDF = coexDF)
+
+ saveRDS(coexDF[genes.names.test, ],
+ file.path(testsDir, "coex.test.cluster1.RDS"))
+
+ pvalDF <- pValueFromDEA(coexDF, getNumCells(obj), method = "none")
+
+ saveRDS(pvalDF[genes.names.test, ],
+ file.path(testsDir, "pval.test.cluster1.RDS"))
+
+ c(mergedClusters, mCoexDF) %<-%
+ mergeUniformCellsClusters(objCOTAN = obj,
+ clusters = NULL,
+ GDIThreshold = GDIThreshold,
+ cores = 6L,
+ distance = "cosine",
+ hclustMethod = "ward.D2",
+ saveObj = FALSE)
+
+ saveRDS(mergedClusters[genes.names.test],
+ file.path(testsDir, "cluster_data_merged.RDS"))
+ }
>
> proc.time()
user system elapsed
0.216 0.087 0.525
COTAN.Rcheck/tests/spelling.Rout
R version 4.4.0 (2024-04-24) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> if (requireNamespace('spelling', quietly = TRUE))
+ spelling::spell_check_test(vignettes = TRUE, error = FALSE,
+ skip_on_cran = TRUE)
NULL
>
> proc.time()
user system elapsed
0.201 0.086 0.491
COTAN.Rcheck/tests/testthat.Rout
R version 4.4.0 (2024-04-24) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> Sys.setenv(R_TESTS = "")
> library(testthat)
> library(COTAN)
> 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 from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.9033203125 | max: 4.6796875 | % 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: 5.23990488052368
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.00171613693237305
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.014150857925415
Estimating genes' coex
Calculate genes' coex elapsed time: 1.81086897850037
Total calculations elapsed time: 7.06664085388184
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 4 genes batches from [1:2] to [7:8]
Executing 1 genes batches from [9:10] to [9:10]
Estimate dispersion: DONE
dispersion | min: 0.9033203125 | max: 4.6796875 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 4 cells batches from [1:3] to [10:11]
Executing 3 cells batches from [12:14] to [18:20]
Estimate nu: DONE
nu change (abs) | max: 1.75595238095238 | median: 1.07174634176587 | mean: 1.07174634176587
Estimate 'dispersion'/'nu': START
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 1.0362548828125 | max: 4.60986328125 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.0265938895089288 | median: 0.0144680038331048 | mean: 0.0144680038331048
Nu mean: 1.69633192486233
Marginal errors | max: 1.95570586131367 | median 1.32068160171502 | mean: 1.33375826507259
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.058837890625 | max: 3.528076171875 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.416683423613994 | median: 0.239880630367975 | mean: 0.239880630367975
Nu mean: 0.823197206753982
Marginal errors | max: 0.836359531101206 | median 0.703684202571891 | mean: 0.645537958989614
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.32879638671875 | max: 4.0302734375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.164237872898673 | median: 0.0955985184389135 | mean: 0.0955985184389135
Nu mean: 1.06863935445976
Marginal errors | max: 0.259872988828242 | median 0.213703042752633 | mean: 0.197386407582083
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.2294921875 | max: 3.8720703125 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.055185575120883 | median: 0.0319991762044448 | mean: 0.0319991762044448
Nu mean: 0.976813601083562
Marginal errors | max: 0.0951586919577032 | median 0.079429703709466 | mean: 0.0724140148396648
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.2637939453125 | max: 3.929443359375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.0196211148938294 | median: 0.01138609597457 | mean: 0.01138609597457
Nu mean: 1.00823501891926
Marginal errors | max: 0.0327747321002292 | median 0.0272104747849538 | mean: 0.0248963830312038
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.25177001953125 | max: 3.90966796875 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.00670099066960717 | median: 0.00388888266671264 | mean: 0.00388888266671264
Nu mean: 0.997187891997105
Marginal errors | max: 0.0114324509186883 | median 0.0094232649770607 | mean: 0.00863113610779571
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.25592041015625 | max: 3.91650390625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.00230093811689414 | median: 0.00132529122122246 | mean: 0.00132529122122246
Nu mean: 1.00097564689567
Marginal errors | max: 0.00387133150664631 | median 0.0031091017608853 | mean: 0.00286071175800213
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.2545166015625 | max: 3.914306640625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.000837011646904529 | median: 0.000470837393363011 | mean: 0.000470837393363011
Nu mean: 0.999633825746458
Marginal errors | max: 0.00122501723202006 | median 0.00102126435760308 | mean: 0.000943992659051318
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.2550048828125 | max: 3.9150390625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.000209227351122054 | median: 0.000122070312500028 | mean: 0.000122070312500028
Nu mean: 1.00008715703862
Marginal errors | max: 0.000364602956581805 | median 0.000313956936819793 | mean: 0.000282899574318485
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 from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.9033203125 | max: 4.6796875 | % 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 avalable 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: 6.04917001724243
Calculating genes' coex normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.00118899345397949
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00480389595031738
Estimating genes' coex
Calculate genes' coex elapsed time: 1.96700406074524
Total calculations elapsed time: 8.02216696739197
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: 5.98706102371216
Calculating cells' coex normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.0035240650177002
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00895404815673828
Estimating cells' coex
Calculate cells' coex elapsed time: 2.02493286132812
Total calculations elapsed time: 8.02447199821472
Calculate cells' coex (legacy): 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 from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.903564453125 | max: 4.679443359375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 1.75719246031746 | median: 1.07229953342014 | mean: 1.07229953342014
Nu mean: 1.68489292689732
Marginal errors | max: 1.73564890252257 | median 1.37996360874076 | mean: 1.32180348113228
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.0655517578125 | max: 3.5439453125 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.402649984216273 | median: 0.231868788425666 | mean: 0.231868788425666
Nu mean: 0.829218804209393
Marginal errors | max: 0.80321315986594 | median 0.677497553540581 | mean: 0.61937543089282
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.3260498046875 | max: 4.026123046875 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.158004893526231 | median: 0.0919692884670312 | mean: 0.0919692884670312
Nu mean: 1.0660356050592
Marginal errors | max: 0.250724014302326 | median 0.206232152124436 | mean: 0.190425623677198
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.23040771484375 | max: 3.8736572265625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.0532774732102337 | median: 0.0308837890624999 | mean: 0.0308837890624999
Nu mean: 0.977606315852266
Marginal errors | max: 0.0916983669060123 | median 0.0765266929824948 | mean: 0.0697593208689684
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.26348876953125 | max: 3.928955078125 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.0189966206463044 | median: 0.0110199320575908 | mean: 0.0110199320575908
Nu mean: 1.00797668858871
Marginal errors | max: 0.0317151207459254 | median 0.026270214227825 | mean: 0.0240886952086962
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.2518310546875 | max: 3.9097900390625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.00670088501353994 | median: 0.00388888101583662 | mean: 0.00388888101583662
Nu mean: 0.997187996002297
Marginal errors | max: 0.0113693316356223 | median 0.00939669372836249 | mean: 0.00860715734056932
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.2559814453125 | max: 3.9166259765625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.00251007446998996 | median: 0.00144735987374958 | mean: 0.00144735987374958
Nu mean: 1.00106271459624
Marginal errors | max: 0.00406746973787442 | median 0.00343393462175534 | mean: 0.00313496757119527
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.25445556640625 | max: 3.9140625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.000837027590858019 | median: 0.000488281249999889 | mean: 0.000488281249999889
Nu mean: 0.999651253659142
Marginal errors | max: 0.00143433714371533 | median 0.00116636244706747 | mean: 0.00109289166947839
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:10] to [1:10]
Estimate dispersion: DONE
dispersion | min: 0.2550048828125 | max: 3.9150390625 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 1 cells batches from [1:20] to [1:20]
Estimate nu: DONE
nu change (abs) | max: 0.000209227688885871 | median: 0.0001220703125 | mean: 0.0001220703125
Nu mean: 1.00008715737639
Marginal errors | max: 0.000379524846207957 | median 0.000325685250686547 | mean: 0.000295532844332236
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 avalable 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: 6.2042191028595
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.000898838043212891
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00643205642700195
Estimating genes' coex
Calculate genes' coex elapsed time: 2.03557395935059
Total calculations elapsed time: 8.2471239566803
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: 6.06160998344421
Calculating cells' coex normalization factor
Calculate cells' normalization factor elapsed time: 0.00672316551208496
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00218582153320312
Estimating cells' coex
Calculate cells' coex elapsed time: 1.95548105239868
Total calculations elapsed time: 8.02600002288818
Calculate cells' 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: 0.325
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial coex
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
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 from [1:3] to [8:10]
Estimate dispersion: DONE
dispersion | min: 0.9033203125 | max: 4.6796875 | % 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: 6.15258812904358
Calculating genes' coex normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.00110697746276855
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00492286682128906
Estimating genes' coex
Calculate genes' coex elapsed time: 1.99113607406616
Total calculations elapsed time: 8.1497540473938
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 avalable 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: 6.09241795539856
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.000947952270507812
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00221705436706543
Estimating genes' coex
Calculate genes' coex elapsed time: 2.00478196144104
Total calculations elapsed time: 8.10036492347717
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
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
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 from [1:3] to [8:10]
Estimate dispersion: DONE
dispersion | min: 0.903564453125 | max: 4.679443359375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 4 cells batches from [1:4] to [13:16]
Executing 1 cells batches from [17:20] to [17:20]
Estimate nu: DONE
nu change (abs) | max: 1.75719246031746 | median: 1.07229953342014 | mean: 1.07229953342014
Nu mean: 1.68489292689732
Marginal errors | max: 0.25535328937316 | median 0.0807577993228135 | mean: 0.101980750205762
Estimate dispersion: START
Effective number of cores used: 1
Executing 3 genes batches from [1:3] to [8:10]
Estimate dispersion: DONE
dispersion | min: 1.037109375 | max: 4.6107177734375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 4 cells batches from [1:4] to [13:16]
Executing 1 cells batches from [17:20] to [17:20]
Estimate nu: DONE
nu change (abs) | max: 0.0273438105507502 | median: 0.0148852611818011 | mean: 0.0148852611818011
Nu mean: 1.69735147626627
Marginal errors | max: 0.00326864580272002 | median 0.00111524657842743 | mean: 0.00131556083122533
Estimate dispersion: START
Effective number of cores used: 1
Executing 3 genes batches from [1:3] to [8:10]
Estimate dispersion: DONE
dispersion | min: 1.03887939453125 | max: 4.6097412109375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 4 cells batches from [1:4] to [13:16]
Executing 1 cells batches from [17:20] to [17:20]
Estimate nu: DONE
nu change (abs) | max: 0 | median: 0 | mean: 0
Nu mean: 1.69735147626627
Marginal errors | max: 7.56328383637594e-05 | median 1.72948087246994e-05 | mean: 2.99252342145451e-05
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: 5.40557193756104
Calculating cells' coex normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.00105500221252441
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00194096565246582
Estimating cells' coex
Calculate cells' coex elapsed time: 1.29898905754089
Total calculations elapsed time: 6.70755696296692
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
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
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 from [1:3] to [8:10]
Estimate dispersion: DONE
dispersion | min: 0.903564453125 | max: 4.679443359375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 4 cells batches from [1:4] to [13:16]
Executing 1 cells batches from [17:20] to [17:20]
Estimate nu: DONE
nu change (abs) | max: 1.75719246031746 | median: 1.07229953342014 | mean: 1.07229953342014
Nu mean: 1.68489292689732
Marginal errors | max: 0.25535328937316 | median 0.0807577993228135 | mean: 0.101980750205762
Estimate dispersion: START
Effective number of cores used: 1
Executing 3 genes batches from [1:3] to [8:10]
Estimate dispersion: DONE
dispersion | min: 1.037109375 | max: 4.6107177734375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 4 cells batches from [1:4] to [13:16]
Executing 1 cells batches from [17:20] to [17:20]
Estimate nu: DONE
nu change (abs) | max: 0.0273438105507502 | median: 0.0148852611818011 | mean: 0.0148852611818011
Nu mean: 1.69735147626627
Marginal errors | max: 0.00326864580272002 | median 0.00111524657842743 | mean: 0.00131556083122533
Estimate dispersion: START
Effective number of cores used: 1
Executing 3 genes batches from [1:3] to [8:10]
Estimate dispersion: DONE
dispersion | min: 1.03887939453125 | max: 4.6097412109375 | % negative: 10
Estimate nu: START
Effective number of cores used: 1
Executing 4 cells batches from [1:4] to [13:16]
Executing 1 cells batches from [17:20] to [17:20]
Estimate nu: DONE
nu change (abs) | max: 0 | median: 0 | mean: 0
Nu mean: 1.69735147626627
Marginal errors | max: 7.56328383637594e-05 | median 1.72948087246994e-05 | mean: 2.99252342145451e-05
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: 5.709881067276
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.000834941864013672
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00192499160766602
Estimating genes' coex
Calculate genes' coex elapsed time: 1.90376615524292
Total calculations elapsed time: 7.6164071559906
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
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
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
Calculating G: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
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
Calculating G: DONE
S matrix sorted
Calculate GDI dataframe: DONE
Calculating S: START
Calculating S: DONE
S matrix sorted
S matrix sorted
Initializing `COTAN` meta-data
Cotan analysis functions started
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 from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Only analysis elapsed time: 6.11288189888
Cotan genes' coex estimation started
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: 7.35216403007507
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.00912904739379883
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.071368932723999
Estimating genes' coex
Calculate genes' coex elapsed time: 2.01813197135925
Total calculations elapsed time: 9.45079398155212
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 11.4922850131989
Total elapsed time: 19.069629907608
Initializing `COTAN` meta-data
Condition test
n cells 1200
Cotan analysis functions started
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 from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Only analysis elapsed time: 7.02048110961914
Cotan genes' coex estimation started
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: 6.80653595924377
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0147790908813477
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0801668167114258
Estimating genes' coex
Calculate genes' coex elapsed time: 2.04903602600098
Total calculations elapsed time: 8.95051789283752
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 10.9243788719177
Total elapsed time: 19.9938259124756
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
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1200
Cotan analysis functions started
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 from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Only analysis elapsed time: 6.83285808563232
Cotan genes' coex estimation started
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 avalable 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: 6.90268707275391
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.00996494293212891
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0799970626831055
Estimating genes' coex
Calculate genes' coex elapsed time: 2.03414797782898
Total calculations elapsed time: 9.02679705619812
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 10.639328956604
Total elapsed time: 19.5335581302643
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
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1200
Cotan analysis functions started
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 from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Only analysis elapsed time: 7.72872996330261
Cotan genes' coex estimation started
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 avalable 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: 7.86050510406494
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.012239933013916
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0789599418640137
Estimating genes' coex
Calculate genes' coex elapsed time: 2.20124506950378
Total calculations elapsed time: 10.1529500484467
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 12.4225130081177
Total elapsed time: 22.2654230594635
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
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Asked to drop 0 genes and 1160 cells
Cotan analysis functions started
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
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:569] to [1:569]
Estimate dispersion: DONE
dispersion | min: -0.2119140625 | max: 85.5 | % negative: 62.2144112478032
Cotan genes' coex estimation not requested
Total elapsed time: 11.0284171104431
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: 6.75675892829895
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0123260021209717
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0143029689788818
Estimating genes' coex
Calculate genes' coex elapsed time: 2.12963199615479
Total calculations elapsed time: 8.91301989555359
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 avalable 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: 6.2814531326294
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0119788646697998
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0100250244140625
Estimating genes' coex
Calculate genes' coex elapsed time: 1.96364903450012
Total calculations elapsed time: 8.26710605621338
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 avalable 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: 6.64137411117554
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0104179382324219
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0167479515075684
Estimating genes' coex
Calculate genes' coex elapsed time: 2.31006002426147
Total calculations elapsed time: 8.978600025177
Calculate genes' coex (legacy): DONE
Initializing `COTAN` meta-data
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1200] cells
PCA: START
PCA: DONE
Hierarchical clustering: START
Hierarchical clustering: DONE
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Cotan genes' coex estimation not requested
Total elapsed time: 21.2041940689087
Saving elaborated data locally at: /tmp/RtmpdC38jH/test.cotan.RDS
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1200 cells belonging to 0 clusters
Creating Seurat object: 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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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-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
Negative: 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
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-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
Negative: 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
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: 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
12:22:35 UMAP embedding parameters a = 0.9922 b = 1.112
12:22:35 Read 1200 rows and found 50 numeric columns
12:22:35 Using Annoy for neighbor search, n_neighbors = 30
12:22:35 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:22:35 Writing NN index file to temp file /tmp/RtmpdC38jH/filef0f941daa123
12:22:35 Searching Annoy index using 1 thread, search_k = 3000
12:22:35 Annoy recall = 100%
12:22:38 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
12:22:42 Initializing from normalized Laplacian + noise (using RSpectra)
12:22:42 Commencing optimization for 500 epochs, with 42274 positive edges
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:22:47 Optimization finished
Creating PDF UMAP in file: /tmp/RtmpdC38jH/test/reclustering/pdf_umap_1.pdf
Creating Seurat object: DONE
* checking uniformity of cluster '0' of 4 clusters
Asked to drop 0 genes and 847 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [353] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.038818359375 | max: 11.109375 | % negative: 5
Only analysis elapsed time: 6.86540699005127
Cotan genes' coex estimation started
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 avalable 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: 7.33943295478821
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0138781070709229
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0527780055999756
Estimating genes' coex
Calculate genes' coex elapsed time: 2.38554191589355
Total calculations elapsed time: 9.79163098335266
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 12.140645980835
Total elapsed time: 21.251091003418
Checking uniformity for the cluster '01_0000' with 353 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0000, with size 353, is uniform
0.83% of the genes is above the given GDI threshold 1.46
GDI 99% quantile is at 1.4439
cluster 01_0000 is uniform
* checking uniformity of cluster '1' of 4 clusters
Asked to drop 0 genes and 879 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [321] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.0501708984375 | max: 14.515625 | % negative: 8.5
Only analysis elapsed time: 7.35493683815002
Cotan genes' coex estimation started
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 avalable 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: 7.37962198257446
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0121371746063232
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0534868240356445
Estimating genes' coex
Calculate genes' coex elapsed time: 2.27541208267212
Total calculations elapsed time: 9.72065806388855
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 11.8583781719208
Total elapsed time: 21.5013830661774
Checking uniformity for the cluster '01_0001' with 321 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 321, is uniform
0.5% of the genes is above the given GDI threshold 1.46
GDI 99% quantile is at 1.4305
cluster 01_0001 is uniform
* checking uniformity of cluster '2' of 4 clusters
Asked to drop 0 genes and 905 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [295] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.054443359375 | max: 104 | % negative: 36.5
Only analysis elapsed time: 7.29486107826233
Cotan genes' coex estimation started
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 avalable 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: 7.3585729598999
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0133240222930908
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0282940864562988
Estimating genes' coex
Calculate genes' coex elapsed time: 2.33050084114075
Total calculations elapsed time: 9.73069190979004
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 12.0958468914032
Total elapsed time: 21.7573609352112
Checking uniformity for the cluster '01_0002' with 295 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 295, is uniform
0% of the genes is above the given GDI threshold 1.46
GDI 99% quantile is at 1.3925
cluster 01_0002 is uniform
* checking uniformity of cluster '3' of 4 clusters
Asked to drop 0 genes and 969 cells
Cotan analysis functions started
Asked to drop 1 genes and 0 cells
Genes/cells selection done: dropped [1] genes and [0] cells
Working on [599] genes and [231] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:599] to [1:599]
Estimate dispersion: DONE
dispersion | min: -0.0662841796875 | max: 82.5 | % negative: 33.889816360601
Only analysis elapsed time: 6.81954908370972
Cotan genes' coex estimation started
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 avalable 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: 6.89724397659302
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.00536489486694336
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0127601623535156
Estimating genes' coex
Calculate genes' coex elapsed time: 1.65786981582642
Total calculations elapsed time: 8.57323884963989
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 10.5112090110779
Total elapsed time: 19.6094660758972
Checking uniformity for the cluster '01_0003' with 231 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0003, with size 231, is uniform
0% of the genes is above the given GDI threshold 1.46
GDI 99% quantile is at 1.373
cluster 01_0003 is uniform
Found 4 uniform and 0 non-uniform clusters
NO new possible uniform clusters! Unclustered cell left: 0
The final raw clusterization contains [ 4 ] different clusters: 01_0000, 01_0001, 01_0002, 01_0003
Differential Expression Analysis - START
* DEA on cluster '1'
* DEA on cluster '2'
* DEA on cluster '3'
* DEA on cluster '4'
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1 -> 3, 2 -> 1, 3 -> 2, 4 -> 4
Cluster, UMAP and Saving the Seurat dataset
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: 0.6846
Number of communities: 4
Elapsed time: 0 seconds
12:25:14 UMAP embedding parameters a = 0.9922 b = 1.112
12:25:14 Read 1200 rows and found 25 numeric columns
12:25:14 Using Annoy for neighbor search, n_neighbors = 30
12:25:14 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:25:14 Writing NN index file to temp file /tmp/RtmpdC38jH/filef0f94339f1af
12:25:14 Searching Annoy index using 1 thread, search_k = 3000
12:25:15 Annoy recall = 100%
12:25:17 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
12:25:20 Initializing from normalized Laplacian + noise (using RSpectra)
12:25:20 Commencing optimization for 500 epochs, with 43428 positive edges
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:25:25 Optimization finished
Creating cells' uniform clustering: DONE
Applied reordering to clusterization is:
1 -> 1, 2 -> 2, 3 -> 3, 4 -> 4
Asked to drop 0 genes and 905 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [295] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.054443359375 | max: 104 | % negative: 36.5
Only analysis elapsed time: 7.12132501602173
Cotan genes' coex estimation started
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 avalable 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: 6.03715991973877
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.00975394248962402
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0259089469909668
Estimating genes' coex
Calculate genes' coex elapsed time: 0.930469036102295
Total calculations elapsed time: 7.00329184532166
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 8.81720900535583
Total elapsed time: 18.1700170040131
Checking uniformity for the cluster 'Cluster_2' with 295 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster Cluster_2, with size 295, is uniform
0% of the genes is above the given GDI threshold 1.46
GDI 99% quantile is at 1.3925
Differential Expression Analysis - START
* DEA on cluster '-1'
* DEA on cluster '1'
* DEA on cluster '2'
* DEA on cluster '3'
* DEA on cluster '4'
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1 -> 2, 2 -> 1, 3 -> 4, 4 -> 3, -1 -> -1
Applied reordering to clusterization is:
1 -> 2, 2 -> 3, 3 -> 1, 4 -> 4, -1 -> -1
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1200 cells belonging to 0 clusters
Creating Seurat object: 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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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-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
Negative: 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
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-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
Negative: 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
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: 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
12:26:07 UMAP embedding parameters a = 0.9922 b = 1.112
12:26:07 Read 1200 rows and found 50 numeric columns
12:26:07 Using Annoy for neighbor search, n_neighbors = 30
12:26:07 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:26:07 Writing NN index file to temp file /tmp/RtmpdC38jH/filef0f9328d6df5
12:26:07 Searching Annoy index using 1 thread, search_k = 3000
12:26:07 Annoy recall = 100%
12:26:09 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
12:26:12 Initializing from normalized Laplacian + noise (using RSpectra)
12:26:12 Commencing optimization for 500 epochs, with 42274 positive edges
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:26:18 Optimization finished
Creating PDF UMAP in file: /tmp/RtmpdC38jH/test/reclustering/pdf_umap_1.pdf
Creating Seurat object: DONE
Using passed in clusterization
* checking uniformity of cluster '1' of 2 clusters
Asked to drop 0 genes and 600 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [600] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.0386962890625 | max: 19.40625 | % negative: 6.5
Only analysis elapsed time: 6.0546350479126
Cotan genes' coex estimation started
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: 5.72644305229187
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0108458995819092
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0560810565948486
Estimating genes' coex
Calculate genes' coex elapsed time: 2.32887387275696
Total calculations elapsed time: 8.12224388122559
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 10.3622231483459
Total elapsed time: 18.7459120750427
Checking uniformity for the cluster '01_0001' with 600 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 600, is uniform
1% of the genes is above the given GDI threshold 1.46
GDI 99% quantile is at 1.4534
cluster 01_0001 is uniform
* checking uniformity of cluster '2' of 2 clusters
Asked to drop 0 genes and 600 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [600] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.032958984375 | max: 10.0859375 | % negative: 3.66666666666667
Only analysis elapsed time: 7.0556321144104
Cotan genes' coex estimation started
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: 7.49685311317444
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0118789672851562
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0476858615875244
Estimating genes' coex
Calculate genes' coex elapsed time: 2.31272506713867
Total calculations elapsed time: 9.86914300918579
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 12.2126009464264
Total elapsed time: 21.4778070449829
Checking uniformity for the cluster '01_0002' with 600 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 600, is uniform
0.5% of the genes is above the given GDI threshold 1.46
GDI 99% quantile is at 1.4378
cluster 01_0002 is uniform
Found 2 uniform and 0 non-uniform clusters
NO new possible uniform clusters! Unclustered cell left: 0
The final raw clusterization contains [ 2 ] different clusters: 01_0001, 01_0002
Differential Expression Analysis - START
* DEA on cluster '1'
* DEA on cluster '2'
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1 -> 1, 2 -> 2
Cluster, UMAP and Saving the Seurat dataset
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: 0.6846
Number of communities: 4
Elapsed time: 0 seconds
12:27:32 UMAP embedding parameters a = 0.9922 b = 1.112
12:27:32 Read 1200 rows and found 25 numeric columns
12:27:32 Using Annoy for neighbor search, n_neighbors = 30
12:27:32 Building Annoy index with metric = cosine, n_trees = 50
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:27:32 Writing NN index file to temp file /tmp/RtmpdC38jH/filef0f9219d329
12:27:32 Searching Annoy index using 1 thread, search_k = 3000
12:27:32 Annoy recall = 100%
12:27:35 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
12:27:39 Initializing from normalized Laplacian + noise (using RSpectra)
12:27:39 Commencing optimization for 500 epochs, with 43428 positive edges
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
12:27:44 Optimization finished
Creating cells' uniform clustering: DONE
findClustersMarkers - START
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.20998115359079
Handling cluster '2' with mean UDE 0.538244816501365
Handling cluster '3' with mean UDE 1.43530796540673
Handling cluster '4' with mean UDE 0.632684489354433
clustersDeltaExpression - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Log Fold Change Analysis - DONE
findClustersMarkers - DONE
findClustersMarkers - START
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.20998115359079
Handling cluster '2' with mean UDE 0.538244816501365
Handling cluster '3' with mean UDE 1.43530796540673
Handling cluster '4' with mean UDE 0.632684489354433
clustersDeltaExpression - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Log Fold Change Analysis - DONE
findClustersMarkers - DONE
findClustersMarkers - START
Differential Expression Analysis - START
* DEA on cluster '1'
* DEA on cluster '2'
* DEA on cluster '3'
* DEA on cluster '4'
Differential Expression Analysis - DONE
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.20998115359079
Handling cluster '2' with mean UDE 0.538244816501365
Handling cluster '3' with mean UDE 1.43530796540673
Handling cluster '4' with mean UDE 0.632684489354433
clustersDeltaExpression - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Log Fold Change Analysis - DONE
findClustersMarkers - DONE
[1] "1"
Asked to drop 0 genes and 879 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [321] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.0501708984375 | max: 14.515625 | % negative: 8.5
Only analysis elapsed time: 6.50558686256409
Cotan genes' coex estimation started
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 avalable 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: 6.15486097335815
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0110630989074707
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0561578273773193
Estimating genes' coex
Calculate genes' coex elapsed time: 2.02074408531189
Total calculations elapsed time: 8.24282598495483
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 10.3312501907349
Total elapsed time: 18.925017118454
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
Calculate GDI dataframe: DONE
[1] "3"
Asked to drop 0 genes and 847 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [353] cells
Estimate dispersion: START
Effective number of cores used: 1
Executing 1 genes batches from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: -0.038818359375 | max: 11.109375 | % negative: 5
Only analysis elapsed time: 6.92670822143555
Cotan genes' coex estimation started
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 avalable 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: 6.68070602416992
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0110578536987305
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0554602146148682
Estimating genes' coex
Calculate genes' coex elapsed time: 1.86798882484436
Total calculations elapsed time: 8.61521291732788
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 10.4269897937775
Total elapsed time: 19.5263500213623
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
S matrix sorted
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 from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Cotan analysis functions started
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 from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Only analysis elapsed time: 7.4008309841156
Cotan genes' coex estimation started
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: 7.7702009677887
Calculating genes' coex normalization factor
Calculate genes' normalization factor elapsed time: 0.0131628513336182
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0888831615447998
Estimating genes' coex
Calculate genes' coex elapsed time: 2.19655990600586
Total calculations elapsed time: 10.068806886673
Calculate genes' coex (legacy): DONE
Only genes' coex elapsed time: 12.1451890468597
Total elapsed time: 21.6262600421906
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
calculating PValues: DONE
Number of selected secondary markers: 109
Calculating S: START
Calculating S: DONE
S matrix sorted
Number of columns (V set - secondary markers): 109
Number of rows (U set): 60
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
calculating PValues: DONE
Number of selected secondary markers: 109
Calculating S: START
Calculating S: DONE
S matrix sorted
Number of columns (V set - secondary markers): 109
Number of rows (U set): 60
Calculating gene co-expression space - DONE
Establishing gene clusters - DONE
Initializing `COTAN` meta-data
Cotan analysis functions started
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 from [1:600] to [1:600]
Estimate dispersion: DONE
dispersion | min: 0.2197265625 | max: 6.08056640625 | % negative: 0
Cotan genes' coex estimation not requested
Total elapsed time: 11.6372790336609
Differential Expression Analysis - START
* DEA on cluster '1'
* DEA on cluster '2'
* DEA on cluster '3'
* DEA on cluster '4'
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'
Log Fold Change Analysis - DONE
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.43530796540673
Handling cluster '2' with mean UDE 0.640931107489518
Handling cluster '3' with mean UDE 0.546546914955574
Handling cluster '4' with mean UDE 1.22034802329656
clustersDeltaExpression - DONE
In group G1 there are 3 detected over 3 genes
In group G2 there are 2 detected over 2 genes
In group G3 there are 5 detected over 5 genes
Merging cells' uniform clustering: START
Start merging nearest clusters: iteration 1
Differential Expression Analysis - START
* DEA on cluster '1'
* DEA on cluster '2'
* DEA on cluster '3'
* DEA on cluster '4'
Differential Expression Analysis - DONE
Clusters pairs for merging:
c("1", "2") c("3", "4") c("2", "3") c("2", "4") c("1", "3") c("1", "4")
*1_2-merge
Asked to drop 0 genes and 626 cells
Cotan analysis functions started
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [574] cells
Estimate dispersion: START
Effective number of cores used: 1
COTAN.Rcheck/COTAN-Ex.timings
| name | user | system | elapsed | |
| COTAN-Legacy | 0.003 | 0.001 | 0.007 | |
| COTANObjectCreation | 14.331 | 0.283 | 21.793 | |
| CalculatingCOEX | 82.375 | 1.272 | 131.505 | |
| ClustersList | 0.009 | 0.003 | 0.024 | |
| GenesStatistics | 15.645 | 0.242 | 25.177 | |
| HandleMetaData | 0.071 | 0.015 | 0.129 | |
| HandlingClusterizations | 25.840 | 0.511 | 41.273 | |
| HandlingConditions | 0.113 | 0.013 | 0.211 | |
| HeatmapPlots | 60.606 | 1.603 | 100.802 | |
| LoggingFunctions | 0.005 | 0.002 | 0.015 | |
| ParametersEstimations | 37.048 | 0.822 | 56.542 | |
| RawDataCleaning | 8.671 | 0.191 | 13.643 | |
| RawDataGetters | 0.079 | 0.008 | 0.136 | |
| UniformClusters | 230.972 | 2.350 | 350.093 | |
| getColorsVector | 0.002 | 0.000 | 0.004 | |