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GSAR

This is the development version of GSAR; for the stable release version, see GSAR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

Gene Set Analysis in R


Bioconductor version: Development (3.24)

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")):

Yasir Rahmatallah, Galina Glazko. GSAR: Gene Set Analysis in R. doi:10.18129/B9.bioc.GSAR, R package version 1.47.0, https://bioconductor.org/packages/GSAR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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 ManualPDF
NEWSText

Details

biocViews DifferentialExpression, Software, StatisticalMethod
Version1.47.0
In Bioconductor sinceBioC 3.0 (R-3.1) (12 years)
License GPL (>=2)
Depends R (>= 3.0.1), igraph (>= 0.7.1)
Imports stats, graphics
System Requirements
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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_1.47.0.tar.gz
Windows Binary (x86_64) GSAR_1.47.0.zip
macOS Binary (big-sur-x86_64) GSAR_1.47.0.tgz
macOS Binary (sonoma-arm64) GSAR_1.47.0.tgz
Source Repositorygit 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/
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