GSAR

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see GSAR.

Gene Set Analysis in R

Bioconductor version: 3.21

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")):

To install this package, start R (version "4.5") 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.

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

Version 1.42.0

In Bioconductor since BioC 3.0 (R-3.1) (11 years)

License GPL (>=2)

Depends R (>= 3.0.1), igraph (>= 0.7.1)

Imports stats, graphics

System Requirements

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

Source Package GSAR_1.42.0.tar.gz

Windows Binary (x86_64) GSAR_1.42.0.zip (64-bit only)

macOS Binary (x86_64) GSAR_1.42.0.tgz

macOS Binary (arm64) GSAR_1.42.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/GSAR

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GSAR

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