DOI: 10.18129/B9.bioc.RGSEA    

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

Random Gene Set Enrichment Analysis

Bioconductor version: Development (3.9)

Combining bootstrap aggregating and Gene set enrichment analysis (GSEA), RGSEA is a classfication algorithm with high robustness and no over-fitting problem. It performs well especially for the data generated from different exprements.

Author: Chengcheng Ma

Maintainer: Chengcheng Ma <ccma at sibs.ac.cn>

Citation (from within R, enter citation("RGSEA")):


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

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("RGSEA", version = "3.9")

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


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



PDF R Script Introduction to RGSEA
PDF   Reference Manual
Text   NEWS


biocViews Classification, GeneSetEnrichment, Software, StatisticalMethod
Version 1.17.0
In Bioconductor since BioC 3.0 (R-3.1) (4.5 years)
License GPL(>=3)
Depends R (>= 2.10.0)
Imports BiocGenerics
Suggests BiocStyle, GEOquery, knitr, RUnit
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 RGSEA_1.17.0.tar.gz
Windows Binary RGSEA_1.17.0.zip
Mac OS X 10.11 (El Capitan) RGSEA_1.17.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RGSEA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RGSEA
Package Short Url http://bioconductor.org/packages/RGSEA/
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