RGSEA

DOI: 10.18129/B9.bioc.RGSEA    

Random Gene Set Enrichment Analysis

Bioconductor version: Release (3.15)

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>

Installation

To install this package, start R (version "4.2") 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")

 

PDF	R Script	Introduction to RGSEA
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, GeneSetEnrichment, Software, StatisticalMethod
Version	1.30.0
In Bioconductor since	BioC 3.0 (R-3.1) (8 years)
License	GPL(>=3)
Depends	R (>= 2.10.0)
Imports	BiocGenerics
LinkingTo
Suggests	BiocStyle, GEOquery, knitr, RUnit
SystemRequirements
Enhances
URL
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_1.30.0.tar.gz
Windows Binary	RGSEA_1.30.0.zip (64-bit only)
macOS Binary (x86_64)	RGSEA_1.30.0.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	https://bioconductor.org/packages/RGSEA/
Package Downloads Report	Download Stats