GSBenchMark

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see GSBenchMark.

Gene Set Benchmark

Bioconductor version: 3.21

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 "4.5") and enter:


if (!require("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")

Working with the GSBenchMark package PDF R Script

Reference Manual PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews ExperimentData, MicroarrayData

Version 1.28.0

License GPL-2

Depends R (>= 2.13.1)

Imports

System Requirements

URL

Suggests

Linking To

Enhances

Depends On Me

Imports Me

Suggests Me GSReg

Links To Me

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Package Archives

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

Source Package GSBenchMark_1.28.0.tar.gz

Windows Binary (x86_64)

macOS Binary (x86_64)

macOS Binary (arm64)

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/

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