Menu

GSAR

Gene Set Analysis in R


Bioconductor version: Release (3.19)

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 "4.4") 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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews DifferentialExpression, Software, StatisticalMethod
Version 1.38.0
In Bioconductor since BioC 3.0 (R-3.1) (10 years)
License GPL (>=2)
Depends R (>= 3.0.1), igraph (>= 0.7.1)
Imports stats, graphics
System Requirements
URL
See More
Suggests MASS, GSVAdata, ALL, tweeDEseqCountData, GSEABase, annotate, org.Hs.eg.db, Biobase, genefilter, hgu95av2.db, edgeR, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package GSAR_1.38.0.tar.gz
Windows Binary (x86_64) GSAR_1.38.0.zip
macOS Binary (x86_64) GSAR_1.38.0.tgz
macOS Binary (arm64) GSAR_1.38.0.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