GSAR

DOI:10.18129/B9.bioc.GSAR

Gene Set Analysis in R

Bioconductor版本:版本(3.15)

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

Author: Yasir Rahmatallah , Galina Glazko

Maintainer: Yasir Rahmatallah , Galina Glazko

Installation

To install this package, start R (version "4.2") and enter:

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

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

Documentation

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

browseVignettes("GSAR")

PDF	R Script	Gene Set Analysis in R -- the GSAR Package
PDF		Reference Manual
Text		NEWS

Details

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Version	1.30.0
In Bioconductor since	BioC 3.0 (R-3.1) (8 years)
License	GPL (>=2)
Depends	R (>= 3.0.1),igraph(>= 0.7.1)
Imports	stats, graphics
LinkingTo
Suggests	MASS,GSVAdata,ALL,tweeDEseqCountData,GSEABase,annotate,org.Hs.eg.db,Biobase,genefilter,hgu95av2.db,edgeR,BiocStyle
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Build Report

Package Archives

Followbob 体育网址 instructions to use this package in your R session.

Source Package	GSAR_1.30.0.tar.gz
Windows Binary	GSAR_1.30.0.zip
macOS 10.13 (High Sierra)	GSAR_1.30.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GSAR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GSAR
Package Short Url	//www.anjoumacpherson.com/packages/GSAR/
Package Downloads Report	Download Stats