Package: Mulcom 1.63.0

Claudio Isella

Mulcom: Calculates Mulcom test

Identification of differentially expressed genes and false discovery rate (FDR) calculation by Multiple Comparison test.

Authors:Claudio Isella

Mulcom_1.63.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Mulcom/json (API)

# Install 'Mulcom' in R:
install.packages('Mulcom', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On BioConductor:Mulcom-1.63.0(bioc 3.24)Mulcom-1.62.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

statisticalmethodmultiplecomparisonmicroarraydifferentialexpressiongeneexpressioncpp

3.00 score 547 downloads 1 mentions 13 exports 10 dependencies

Last updated from:6a8ecd2126. Checks:1 ERROR, 13 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
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linux-devel-x86_64WARNING166
source / vignettesOK151
linux-release-arm64WARNING112
linux-release-x86_64WARNING237
macos-release-arm64WARNING142
macos-release-x86_64WARNING376
macos-oldrel-arm64WARNING108
macos-oldrel-x86_64WARNING257
windows-devel-arm64WARNING231
windows-devel-x86_64WARNING141
windows-release-arm64WARNING252
windows-release-x86_64WARNING111
windows-oldrel-x86_64WARNING110
wasm-releaseOK86

Exports:mulCalcmulCANDmulDELTAmulDiffmulFSGmulIndexmulIntmulOptmulOptParsmulOptPlotmulParOptmulPermmulScores

Dependencies:BiobaseBiocGenericsdotCall64fieldsgenericsmapsRColorBrewerRcppspamviridisLite