GSBenchMark

DOI: 10.18129/B9.bioc.GSBenchMark    

Gene Set Benchmark

Bioconductor version: Release (3.13)

Benchmarks for Machine Learning Analysis of the Gene Sets. The package contains a list of pathways and gene expression data sets used in "Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC)" (2010) by Eddy et al.

Author: Bahman Afsari <bahman at jhu.edu>, Elana J. Fertig <ejfertig at jhmi.edu>

Maintainer: Bahman Afsari <bahman at jhu.edu>

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

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("GSBenchMark")

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("GSBenchMark")

 

PDF R Script Working with the GSBenchMark package
PDF   Reference Manual

Details

biocViews ExperimentData, MicroarrayData
Version 1.12.0
License GPL-2
Depends R (>= 2.13.1)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me GSReg
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSBenchMark_1.12.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/GSBenchMark
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GSBenchMark
Package Short Url https://bioconductor.org/packages/GSBenchMark/
Package Downloads Report Download Stats

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