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GSAR

Gene Set Analysis in R


Bioconductor version: Release (3.18)

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

Author: Yasir Rahmatallah <yrahmatallah at uams.edu>, Galina Glazko <gvglazko at uams.edu>

Maintainer: Yasir Rahmatallah <yrahmatallah at uams.edu>, Galina Glazko <gvglazko at uams.edu>

Citation (from within R, enter citation("GSAR")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GSAR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSAR")
Gene Set Analysis in R -- the GSAR Package PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, Software, StatisticalMethod
Version 1.36.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL (>=2)
Depends R (>= 3.0.1), igraph (>= 0.7.1)
Imports stats, graphics
System Requirements
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Suggests MASS, GSVAdata, ALL, tweeDEseqCountData, GSEABase, annotate, org.Hs.eg.db, Biobase, genefilter, hgu95av2.db, edgeR, BiocStyle
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSAR_1.36.0.tar.gz
Windows Binary GSAR_1.36.0.zip
macOS Binary (x86_64) GSAR_1.36.0.tgz
macOS Binary (arm64) GSAR_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GSAR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GSAR
Bioc Package Browser https://code.bioconductor.org/browse/GSAR/
Package Short Url https://bioconductor.org/packages/GSAR/
Package Downloads Report Download Stats