GSAR

This is thereleased version of GSAR; for the devel version, seeGSAR.

Gene Set Analysis in R

Bioconductor version: Release (3.22)

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, entercitation("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 appropriateBioconductor 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	1.44.0
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
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

FollowInstallation instructions to use this package in your R session.

Source Package	GSAR_1.44.0.tar.gz
Windows Binary (x86_64)	GSAR_1.44.0.zip
macOS Binary (x86_64)	GSAR_1.44.0.tgz
macOS Binary (arm64)	GSAR_1.44.0.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