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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
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Depends On Me
Imports Me
Suggests Me
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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