GSAR

This is the released version of GSAR; for the devel version, see GSAR.

Gene Set Analysis in R

Bioconductor version: Release (3.20)

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 "4.4") 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.

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

biocViews	DifferentialExpression, Software, StatisticalMethod
Version	1.40.0
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

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

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

Source Package	GSAR_1.40.0.tar.gz
Windows Binary (x86_64)	GSAR_1.40.0.zip
macOS Binary (x86_64)	GSAR_1.40.0.tgz
macOS Binary (arm64)	GSAR_1.40.0.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