Package: GSAR 1.41.0

Yasir Rahmatallah

GSAR: Gene Set Analysis in R

Gene set analysis using specific alternative hypotheses. Tests for differential expression, scale and net correlation structure.

Authors:Yasir Rahmatallah <[email protected]>, Galina Glazko <[email protected]>

GSAR_1.41.0.tar.gz
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GSAR.pdf |GSAR.html
GSAR/json (API)
NEWS

# Install 'GSAR' in R:
install.packages('GSAR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:GSAR-1.39.3(bioc 3.20)GSAR-1.38.0(bioc 3.19)

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

softwarestatisticalmethoddifferentialexpression

4.38 score 7 scripts 252 downloads 6 mentions 17 exports 11 dependencies

Last updated 22 days agofrom:04f12467d8. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:ADtestAggrFtestCVMtestfindMST2findMST2.PPIGSNCAtestHDP.rankingKStestMDtestplotMST2.pathwayradial.rankingRADtestRCVMtestRKStestRMDtestTestGeneSetsWWtest

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

Gene Set Analysis in R -- the GSAR Package

Rendered fromGSAR.Rnwusingutils::Sweaveon Oct 30 2024.

Last update: 2024-06-14
Started: 2014-05-27