Package: GSAR 1.39.2

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_1.39.2.tar.gz
GSAR_1.39.2.zip(r-4.5)GSAR_1.39.2.zip(r-4.4)GSAR_1.39.2.zip(r-4.3)
GSAR_1.39.2.tgz(r-4.4-any)GSAR_1.39.2.tgz(r-4.3-any)
GSAR_1.39.2.tar.gz(r-4.5-noble)GSAR_1.39.2.tar.gz(r-4.4-noble)
GSAR_1.39.2.tgz(r-4.4-emscripten)GSAR_1.39.2.tgz(r-4.3-emscripten)
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-1.39.0(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.

bioconductor-package

17 exports 0.91 score 11 dependencies 6 mentions

Last updated 25 days agofrom:5d7157b968

Exports:ADtestAggrFtestCVMtestfindMST2findMST2.PPIGSNCAtestHDP.rankingKStestMDtestplotMST2.pathwayradial.rankingRADtestRCVMtestRKStestRMDtestTestGeneSetsWWtest

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

Gene Set Analysis in R -- the GSAR Package

Rendered fromGSAR.Rnwusingutils::Sweaveon Jun 16 2024.

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