| Back to Multiple platform build/check report for BioC 3.20: simplified long |
|
This page was generated on 2025-02-06 12:12 -0500 (Thu, 06 Feb 2025).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.4.2 (2024-10-31) -- "Pile of Leaves" | 4753 |
| palomino8 | Windows Server 2022 Datacenter | x64 | 4.4.2 (2024-10-31 ucrt) -- "Pile of Leaves" | 4501 |
| merida1 | macOS 12.7.5 Monterey | x86_64 | 4.4.2 (2024-10-31) -- "Pile of Leaves" | 4524 |
| kjohnson1 | macOS 13.6.6 Ventura | arm64 | 4.4.2 (2024-10-31) -- "Pile of Leaves" | 4476 |
| taishan | Linux (openEuler 24.03 LTS) | aarch64 | 4.4.2 (2024-10-31) -- "Pile of Leaves" | 4407 |
| 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 1977/2289 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| singleCellTK 2.16.0 (landing page) Joshua David Campbell
| nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | OK |  | ||||||||
| palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | | ||||||||
| merida1 | macOS 12.7.5 Monterey / x86_64 | OK | OK | OK | NA | |||||||||
| kjohnson1 | macOS 13.6.6 Ventura / arm64 | OK | OK | OK | OK |  | ||||||||
| taishan | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | OK | ||||||||||
|
To the developers/maintainers of the singleCellTK package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/singleCellTK.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. - See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host. |
| Package: singleCellTK |
| Version: 2.16.0 |
| Command: /home/biocbuild/R/R/bin/R CMD check --install=check:singleCellTK.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings singleCellTK_2.16.0.tar.gz |
| StartedAt: 2025-02-04 11:09:19 -0000 (Tue, 04 Feb 2025) |
| EndedAt: 2025-02-04 11:27:31 -0000 (Tue, 04 Feb 2025) |
| EllapsedTime: 1091.3 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: singleCellTK.Rcheck |
| Warnings: 0 |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/R/R/bin/R CMD check --install=check:singleCellTK.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings singleCellTK_2.16.0.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.20-bioc/meat/singleCellTK.Rcheck’
* using R version 4.4.2 (2024-10-31)
* using platform: aarch64-unknown-linux-gnu
* R was compiled by
aarch64-unknown-linux-gnu-gcc (GCC) 14.2.0
GNU Fortran (GCC) 12.3.1 (openEuler 12.3.1-36.oe2403)
* running under: openEuler 24.03 (LTS)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘singleCellTK/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘singleCellTK’ version ‘2.16.0’
* 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 ‘singleCellTK’ can be installed ... OK
* checking installed package size ... NOTE
installed size is 7.0Mb
sub-directories of 1Mb or more:
R 1.0Mb
extdata 1.6Mb
shiny 3.0Mb
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* 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 loading without being on the library search path ... 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 R/sysdata.rda ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
runSeuratSCTransform 44.305 0.713 45.226
plotDoubletFinderResults 34.177 0.347 34.719
plotScDblFinderResults 33.004 0.330 33.516
runDoubletFinder 30.780 0.046 30.910
runScDblFinder 21.548 0.450 22.081
importExampleData 14.695 1.423 22.150
plotBatchCorrCompare 10.854 0.426 11.634
plotScdsHybridResults 9.420 0.164 8.937
plotBcdsResults 8.217 0.186 7.752
plotDecontXResults 7.541 0.160 7.715
plotCxdsResults 6.324 0.146 6.610
runDecontX 6.304 0.009 6.331
runUMAP 6.058 0.100 6.309
plotUMAP 5.942 0.053 6.139
plotDEGViolin 5.855 0.105 5.971
plotFindMarkerHeatmap 5.681 0.080 5.773
plotEmptyDropsResults 5.561 0.017 5.581
plotEmptyDropsScatter 5.489 0.025 5.517
runEmptyDrops 5.235 0.000 5.244
convertSCEToSeurat 5.013 0.080 5.105
plotTSCANClusterDEG 5.060 0.032 5.109
detectCellOutlier 5.052 0.039 5.107
runEnrichR 0.443 0.266 9.683
getEnrichRResult 0.502 0.116 9.614
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
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: 2 NOTEs
See
‘/home/biocbuild/bbs-3.20-bioc/meat/singleCellTK.Rcheck/00check.log’
for details.
singleCellTK.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R/bin/R CMD INSTALL singleCellTK ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/R/R-4.4.2/site-library’ * installing *source* package ‘singleCellTK’ ... ** using staged installation ** R ** data ** exec ** 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 (singleCellTK)
singleCellTK.Rcheck/tests/spelling.Rout
R version 4.4.2 (2024-10-31) -- "Pile of Leaves"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu
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
0.203 0.020 0.208
singleCellTK.Rcheck/tests/testthat.Rout
R version 4.4.2 (2024-10-31) -- "Pile of Leaves"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu
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.
> library(testthat)
> library(singleCellTK)
Loading required package: SummarizedExperiment
Loading required package: MatrixGenerics
Loading required package: matrixStats
Attaching package: 'MatrixGenerics'
The following objects are masked from 'package:matrixStats':
colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
colWeightedMeans, colWeightedMedians, colWeightedSds,
colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
rowWeightedSds, rowWeightedVars
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, saveRDS, setdiff, table,
tapply, union, unique, unsplit, which.max, which.min
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:utils':
findMatches
The following objects are masked from 'package:base':
I, expand.grid, unname
Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'Biobase'
The following object is masked from 'package:MatrixGenerics':
rowMedians
The following objects are masked from 'package:matrixStats':
anyMissing, rowMedians
Loading required package: SingleCellExperiment
Loading required package: DelayedArray
Loading required package: Matrix
Attaching package: 'Matrix'
The following object is masked from 'package:S4Vectors':
expand
Loading required package: S4Arrays
Loading required package: abind
Attaching package: 'S4Arrays'
The following object is masked from 'package:abind':
abind
The following object is masked from 'package:base':
rowsum
Loading required package: SparseArray
Attaching package: 'DelayedArray'
The following objects are masked from 'package:base':
apply, scale, sweep
Attaching package: 'singleCellTK'
The following object is masked from 'package:BiocGenerics':
plotPCA
>
> test_check("singleCellTK")
Found 2 batches
Using null model in ComBat-seq.
Adjusting for 0 covariate(s) or covariate level(s)
Estimating dispersions
Fitting the GLM model
Shrinkage off - using GLM estimates for parameters
Adjusting the data
Found 2 batches
Using null model in ComBat-seq.
Adjusting for 1 covariate(s) or covariate level(s)
Estimating dispersions
Fitting the GLM model
Shrinkage off - using GLM estimates for parameters
Adjusting the data
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
|
| | 0%
|
|======================================================================| 100%
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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
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|======================================================================| 100%
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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Uploading data to Enrichr... Done.
Querying HDSigDB_Human_2021... Done.
Parsing results... Done.
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
|
| | 0%
|
|======================================================================| 100%
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
|
| | 0%
|
|======================================================================| 100%
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%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
|
| | 0%
|
|======================================================================| 100%
|
| | 0%
|
|======================================================================| 100%
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck
Number of nodes: 390
Number of edges: 9849
Running Louvain algorithm...
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.8351
Number of communities: 7
Elapsed time: 0 seconds
Using method 'umap'
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
|
| | 0%
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|======================================================================| 100%
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| | 0%
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|======================================================================| 100%
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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|======================================================================| 100%
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|======================================================================| 100%
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|======================================================================| 100%
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|======================================================================| 100%
Performing log-normalization
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
[ FAIL 0 | WARN 20 | SKIP 0 | PASS 224 ]
[ FAIL 0 | WARN 20 | SKIP 0 | PASS 224 ]
>
> proc.time()
user system elapsed
284.425 9.605 346.874
singleCellTK.Rcheck/singleCellTK-Ex.timings
| name | user | system | elapsed | |
| MitoGenes | 0.000 | 0.003 | 0.002 | |
| SEG | 0.000 | 0.003 | 0.003 | |
| calcEffectSizes | 0.226 | 0.016 | 0.243 | |
| combineSCE | 1.063 | 0.076 | 1.141 | |
| computeZScore | 0.267 | 0.008 | 0.275 | |
| convertSCEToSeurat | 5.013 | 0.080 | 5.105 | |
| convertSeuratToSCE | 0.468 | 0.003 | 0.474 | |
| dedupRowNames | 0.073 | 0.001 | 0.072 | |
| detectCellOutlier | 5.052 | 0.039 | 5.107 | |
| diffAbundanceFET | 0.065 | 0.000 | 0.065 | |
| discreteColorPalette | 0.008 | 0.000 | 0.009 | |
| distinctColors | 0.003 | 0.000 | 0.003 | |
| downSampleCells | 0.772 | 0.020 | 0.794 | |
| downSampleDepth | 0.584 | 0.000 | 0.586 | |
| expData-ANY-character-method | 0.163 | 0.004 | 0.167 | |
| expData-set-ANY-character-CharacterOrNullOrMissing-logical-method | 0.221 | 0.000 | 0.222 | |
| expData-set | 0.204 | 0.008 | 0.213 | |
| expData | 0.203 | 0.000 | 0.203 | |
| expDataNames-ANY-method | 0.151 | 0.000 | 0.152 | |
| expDataNames | 0.152 | 0.000 | 0.152 | |
| expDeleteDataTag | 0.041 | 0.000 | 0.041 | |
| expSetDataTag | 0.028 | 0.000 | 0.028 | |
| expTaggedData | 0.03 | 0.00 | 0.03 | |
| exportSCE | 0.026 | 0.000 | 0.026 | |
| exportSCEtoAnnData | 0.085 | 0.000 | 0.085 | |
| exportSCEtoFlatFile | 0.085 | 0.000 | 0.085 | |
| featureIndex | 0.041 | 0.000 | 0.041 | |
| generateSimulatedData | 0.058 | 0.000 | 0.058 | |
| getBiomarker | 0.065 | 0.000 | 0.065 | |
| getDEGTopTable | 0.900 | 0.035 | 0.937 | |
| getDiffAbundanceResults | 0.052 | 0.000 | 0.053 | |
| getEnrichRResult | 0.502 | 0.116 | 9.614 | |
| getFindMarkerTopTable | 2.011 | 0.248 | 2.265 | |
| getMSigDBTable | 0.005 | 0.000 | 0.005 | |
| getPathwayResultNames | 0.026 | 0.000 | 0.026 | |
| getSampleSummaryStatsTable | 0.245 | 0.016 | 0.262 | |
| getSoupX | 0 | 0 | 0 | |
| getTSCANResults | 1.347 | 0.079 | 1.431 | |
| getTopHVG | 1.144 | 0.032 | 1.179 | |
| importAnnData | 0.001 | 0.000 | 0.002 | |
| importBUStools | 0.214 | 0.000 | 0.218 | |
| importCellRanger | 1.127 | 0.092 | 1.227 | |
| importCellRangerV2Sample | 0.187 | 0.004 | 0.192 | |
| importCellRangerV3Sample | 0.394 | 0.012 | 0.407 | |
| importDropEst | 0.262 | 0.000 | 0.264 | |
| importExampleData | 14.695 | 1.423 | 22.150 | |
| importGeneSetsFromCollection | 1.930 | 0.132 | 2.067 | |
| importGeneSetsFromGMT | 0.074 | 0.000 | 0.076 | |
| importGeneSetsFromList | 0.148 | 0.004 | 0.153 | |
| importGeneSetsFromMSigDB | 3.786 | 0.164 | 3.958 | |
| importMitoGeneSet | 0.063 | 0.008 | 0.071 | |
| importOptimus | 0.002 | 0.000 | 0.001 | |
| importSEQC | 0.187 | 0.011 | 0.202 | |
| importSTARsolo | 0.200 | 0.004 | 0.206 | |
| iterateSimulations | 0.246 | 0.012 | 0.258 | |
| listSampleSummaryStatsTables | 0.334 | 0.024 | 0.359 | |
| mergeSCEColData | 0.521 | 0.040 | 0.562 | |
| mouseBrainSubsetSCE | 0.039 | 0.000 | 0.039 | |
| msigdb_table | 0.001 | 0.000 | 0.002 | |
| plotBarcodeRankDropsResults | 0.776 | 0.056 | 0.833 | |
| plotBarcodeRankScatter | 0.941 | 0.004 | 0.948 | |
| plotBatchCorrCompare | 10.854 | 0.426 | 11.634 | |
| plotBatchVariance | 0.427 | 0.012 | 0.440 | |
| plotBcdsResults | 8.217 | 0.186 | 7.752 | |
| plotBubble | 0.911 | 0.025 | 0.936 | |
| plotClusterAbundance | 1.115 | 0.052 | 1.169 | |
| plotCxdsResults | 6.324 | 0.146 | 6.610 | |
| plotDEGHeatmap | 3.192 | 0.029 | 3.229 | |
| plotDEGRegression | 4.833 | 0.045 | 4.889 | |
| plotDEGViolin | 5.855 | 0.105 | 5.971 | |
| plotDEGVolcano | 1.132 | 0.008 | 1.142 | |
| plotDecontXResults | 7.541 | 0.160 | 7.715 | |
| plotDimRed | 0.246 | 0.004 | 0.251 | |
| plotDoubletFinderResults | 34.177 | 0.347 | 34.719 | |
| plotEmptyDropsResults | 5.561 | 0.017 | 5.581 | |
| plotEmptyDropsScatter | 5.489 | 0.025 | 5.517 | |
| plotFindMarkerHeatmap | 5.681 | 0.080 | 5.773 | |
| plotMASTThresholdGenes | 1.896 | 0.012 | 1.913 | |
| plotPCA | 0.444 | 0.004 | 0.449 | |
| plotPathway | 0.825 | 0.024 | 0.852 | |
| plotRunPerCellQCResults | 2.670 | 0.012 | 2.687 | |
| plotSCEBarAssayData | 0.234 | 0.001 | 0.236 | |
| plotSCEBarColData | 0.174 | 0.007 | 0.183 | |
| plotSCEBatchFeatureMean | 0.343 | 0.001 | 0.344 | |
| plotSCEDensity | 0.264 | 0.004 | 0.269 | |
| plotSCEDensityAssayData | 0.205 | 0.000 | 0.206 | |
| plotSCEDensityColData | 0.261 | 0.004 | 0.266 | |
| plotSCEDimReduceColData | 0.662 | 0.004 | 0.667 | |
| plotSCEDimReduceFeatures | 0.399 | 0.008 | 0.407 | |
| plotSCEHeatmap | 0.558 | 0.004 | 0.563 | |
| plotSCEScatter | 0.31 | 0.00 | 0.31 | |
| plotSCEViolin | 0.309 | 0.000 | 0.310 | |
| plotSCEViolinAssayData | 0.331 | 0.004 | 0.336 | |
| plotSCEViolinColData | 0.375 | 0.004 | 0.379 | |
| plotScDblFinderResults | 33.004 | 0.330 | 33.516 | |
| plotScanpyDotPlot | 0.023 | 0.003 | 0.026 | |
| plotScanpyEmbedding | 0.027 | 0.000 | 0.027 | |
| plotScanpyHVG | 0.026 | 0.000 | 0.026 | |
| plotScanpyHeatmap | 0.027 | 0.000 | 0.027 | |
| plotScanpyMarkerGenes | 0.026 | 0.000 | 0.026 | |
| plotScanpyMarkerGenesDotPlot | 0.026 | 0.000 | 0.027 | |
| plotScanpyMarkerGenesHeatmap | 0.027 | 0.000 | 0.028 | |
| plotScanpyMarkerGenesMatrixPlot | 0.027 | 0.000 | 0.027 | |
| plotScanpyMarkerGenesViolin | 0.025 | 0.000 | 0.026 | |
| plotScanpyMatrixPlot | 0.027 | 0.000 | 0.026 | |
| plotScanpyPCA | 0.027 | 0.000 | 0.027 | |
| plotScanpyPCAGeneRanking | 0.026 | 0.000 | 0.027 | |
| plotScanpyPCAVariance | 0.027 | 0.000 | 0.027 | |
| plotScanpyViolin | 0.027 | 0.000 | 0.027 | |
| plotScdsHybridResults | 9.420 | 0.164 | 8.937 | |
| plotScrubletResults | 0.021 | 0.003 | 0.025 | |
| plotSeuratElbow | 0.020 | 0.004 | 0.025 | |
| plotSeuratHVG | 0.025 | 0.000 | 0.025 | |
| plotSeuratJackStraw | 0.025 | 0.000 | 0.025 | |
| plotSeuratReduction | 0.024 | 0.000 | 0.024 | |
| plotSoupXResults | 0 | 0 | 0 | |
| plotTSCANClusterDEG | 5.060 | 0.032 | 5.109 | |
| plotTSCANClusterPseudo | 1.707 | 0.016 | 1.729 | |
| plotTSCANDimReduceFeatures | 1.739 | 0.012 | 1.756 | |
| plotTSCANPseudotimeGenes | 1.999 | 0.016 | 2.021 | |
| plotTSCANPseudotimeHeatmap | 1.882 | 0.028 | 1.916 | |
| plotTSCANResults | 1.609 | 0.036 | 1.651 | |
| plotTSNE | 0.425 | 0.012 | 0.438 | |
| plotTopHVG | 0.738 | 0.008 | 0.749 | |
| plotUMAP | 5.942 | 0.053 | 6.139 | |
| readSingleCellMatrix | 0.006 | 0.000 | 0.006 | |
| reportCellQC | 0.105 | 0.000 | 0.106 | |
| reportDropletQC | 0.024 | 0.000 | 0.025 | |
| reportQCTool | 0.103 | 0.000 | 0.104 | |
| retrieveSCEIndex | 0.032 | 0.000 | 0.033 | |
| runBBKNN | 0.000 | 0.000 | 0.001 | |
| runBarcodeRankDrops | 0.295 | 0.000 | 0.296 | |
| runBcds | 2.449 | 0.012 | 1.694 | |
| runCellQC | 0.098 | 0.008 | 0.106 | |
| runClusterSummaryMetrics | 0.510 | 0.000 | 0.513 | |
| runComBatSeq | 0.648 | 0.004 | 0.654 | |
| runCxds | 0.416 | 0.004 | 0.420 | |
| runCxdsBcdsHybrid | 2.370 | 0.043 | 1.636 | |
| runDEAnalysis | 0.544 | 0.004 | 0.550 | |
| runDecontX | 6.304 | 0.009 | 6.331 | |
| runDimReduce | 0.374 | 0.000 | 0.375 | |
| runDoubletFinder | 30.780 | 0.046 | 30.910 | |
| runDropletQC | 0.027 | 0.000 | 0.028 | |
| runEmptyDrops | 5.235 | 0.000 | 5.244 | |
| runEnrichR | 0.443 | 0.266 | 9.683 | |
| runFastMNN | 3.828 | 1.018 | 4.862 | |
| runFeatureSelection | 0.278 | 0.008 | 0.287 | |
| runFindMarker | 1.867 | 0.111 | 1.984 | |
| runGSVA | 1.075 | 0.171 | 1.250 | |
| runHarmony | 0.049 | 0.008 | 0.058 | |
| runKMeans | 0.245 | 0.008 | 0.254 | |
| runLimmaBC | 0.116 | 0.000 | 0.117 | |
| runMNNCorrect | 0.562 | 0.028 | 0.592 | |
| runModelGeneVar | 0.399 | 0.024 | 0.424 | |
| runNormalization | 2.414 | 0.302 | 2.725 | |
| runPerCellQC | 0.428 | 0.004 | 0.434 | |
| runSCANORAMA | 0 | 0 | 0 | |
| runSCMerge | 0.004 | 0.000 | 0.004 | |
| runScDblFinder | 21.548 | 0.450 | 22.081 | |
| runScanpyFindClusters | 0.024 | 0.000 | 0.024 | |
| runScanpyFindHVG | 0.022 | 0.000 | 0.023 | |
| runScanpyFindMarkers | 0.019 | 0.004 | 0.023 | |
| runScanpyNormalizeData | 0.133 | 0.008 | 0.141 | |
| runScanpyPCA | 0.024 | 0.000 | 0.024 | |
| runScanpyScaleData | 0.023 | 0.000 | 0.023 | |
| runScanpyTSNE | 0.024 | 0.000 | 0.024 | |
| runScanpyUMAP | 0.023 | 0.000 | 0.023 | |
| runScranSNN | 0.384 | 0.024 | 0.409 | |
| runScrublet | 0.023 | 0.000 | 0.023 | |
| runSeuratFindClusters | 0.023 | 0.000 | 0.023 | |
| runSeuratFindHVG | 0.645 | 0.032 | 0.679 | |
| runSeuratHeatmap | 0.026 | 0.000 | 0.025 | |
| runSeuratICA | 0.026 | 0.000 | 0.026 | |
| runSeuratJackStraw | 0.024 | 0.000 | 0.025 | |
| runSeuratNormalizeData | 0.025 | 0.003 | 0.028 | |
| runSeuratPCA | 0.023 | 0.004 | 0.027 | |
| runSeuratSCTransform | 44.305 | 0.713 | 45.226 | |
| runSeuratScaleData | 0.024 | 0.000 | 0.024 | |
| runSeuratUMAP | 0.023 | 0.000 | 0.023 | |
| runSingleR | 0.052 | 0.000 | 0.051 | |
| runSoupX | 0 | 0 | 0 | |
| runTSCAN | 0.861 | 0.012 | 0.875 | |
| runTSCANClusterDEAnalysis | 0.947 | 0.012 | 0.962 | |
| runTSCANDEG | 0.946 | 0.012 | 0.959 | |
| runTSNE | 0.973 | 0.012 | 0.988 | |
| runUMAP | 6.058 | 0.100 | 6.309 | |
| runVAM | 0.448 | 0.004 | 0.453 | |
| runZINBWaVE | 0.004 | 0.000 | 0.004 | |
| sampleSummaryStats | 0.226 | 0.000 | 0.228 | |
| scaterCPM | 0.150 | 0.000 | 0.151 | |
| scaterPCA | 0.642 | 0.020 | 0.665 | |
| scaterlogNormCounts | 0.304 | 0.000 | 0.304 | |
| sce | 0.022 | 0.000 | 0.023 | |
| sctkListGeneSetCollections | 0.094 | 0.000 | 0.095 | |
| sctkPythonInstallConda | 0 | 0 | 0 | |
| sctkPythonInstallVirtualEnv | 0.001 | 0.000 | 0.000 | |
| selectSCTKConda | 0 | 0 | 0 | |
| selectSCTKVirtualEnvironment | 0 | 0 | 0 | |
| setRowNames | 0.103 | 0.000 | 0.103 | |
| setSCTKDisplayRow | 0.410 | 0.012 | 0.423 | |
| singleCellTK | 0 | 0 | 0 | |
| subDiffEx | 0.421 | 0.004 | 0.427 | |
| subsetSCECols | 0.101 | 0.000 | 0.102 | |
| subsetSCERows | 0.345 | 0.020 | 0.366 | |
| summarizeSCE | 0.075 | 0.004 | 0.079 | |
| trimCounts | 0.211 | 0.000 | 0.212 | |