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RGSEA

Random Gene Set Enrichment Analysis

Bioconductor version: Release (3.17)

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")):

Installation

To install this package, start R (version "4.3") and enter: 

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

BiocManager::install("RGSEA")

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("RGSEA")
Introduction to RGSEA PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, GeneSetEnrichment, Software, StatisticalMethod
Version 1.34.0
In Bioconductor since BioC 3.0 (R-3.1) (9 years)
License GPL(>=3)
Depends R (>= 2.10.0)
Imports BiocGenerics
Linking To
Suggests BiocStyle, GEOquery, knitr, RUnit
System Requirements
Enhances
URL
See More
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_1.34.0.tar.gz
Windows Binary RGSEA_1.34.0.zip (64-bit only)
macOS Binary (x86_64) RGSEA_1.34.0.tgz
macOS Binary (arm64) RGSEA_1.34.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RGSEA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RGSEA
Bioc Package Browser https://code.bioconductor.org/browse/RGSEA/
Package Short Url https://bioconductor.org/packages/RGSEA/
Package Downloads Report Download Stats