Bioconductor Developer Survey 2026 Now Open!

RGSEA

Random Gene Set Enrichment Analysis

Bioconductor version: 3.24 · Package version: 1.47.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.RGSEA

Installation

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

BiocManager::install("RGSEA")

Details

MaintainerChengcheng Ma <ccma@sibs.ac.cn>
AuthorChengcheng Ma
LicenseGPL(>=3)
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsClassification, GeneSetEnrichment, Software, StatisticalMethod
Package Short Url https://bioconductor.org/packages/RGSEA/

Citation

From within R, enter citation("RGSEA"):

Chengcheng Ma. RGSEA: Random Gene Set Enrichment Analysis. doi:10.18129/B9.bioc.RGSEA, R package version 1.47.0, https://bioconductor.org/packages/RGSEA.

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

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageRGSEA_1.47.0.tar.gz
Windows binary (x86_64)RGSEA_1.47.0.zip
macOS binary (arm64)RGSEA_1.47.0.tgz
macOS binary (x86_64)RGSEA_1.47.0.tgz
Dependencies

Depends: R (>= 2.10.0)

Imports: BiocGenerics

Suggests: BiocStyle, GEOquery, knitr, RUnit