GSAR

DOI: 10.18129/B9.bioc.GSAR    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see GSAR.

Gene Set Analysis in R

Bioconductor version: 3.9

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>

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("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")

 

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

Details

biocViews	DifferentialExpression, Software, StatisticalMethod
Version	1.18.0
In Bioconductor since	BioC 3.0 (R-3.1) (5 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
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	GSAR_1.18.0.tar.gz
Windows Binary	GSAR_1.18.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	GSAR_1.18.0.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	https://bioconductor.org/packages/GSAR/
Package Downloads Report	Download Stats