GSAR

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see GSAR.

Gene Set Analysis in R


Bioconductor version: 3.10

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 "3.6") 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

Details

biocViews DifferentialExpression, Software, StatisticalMethod
Version 1.20.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL (>=2)
Depends R (>= 3.0.1), igraph (>= 0.7.1)
Imports stats, graphics
System Requirements
URL
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Suggests MASS, GSVAdata, ALL, tweeDEseqCountData, GSEABase, annotate, org.Hs.eg.db, Biobase, genefilter, hgu95av2.db, edgeR, BiocStyle
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Package Archives

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

Source Package GSAR_1.20.0.tar.gz
Windows Binary GSAR_1.20.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) GSAR_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GSAR
Source Repository (Developer Access) git clone [email protected]:packages/GSAR
Bioc Package Browser https://code.bioconductor.org/browse/GSAR/
Package Short Url https://bioconductor.org/packages/GSAR/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.10 Source Archive