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GSBenchMark

This is the development version of GSBenchMark; for the stable release version, see GSBenchMark.

Gene Set Benchmark


Bioconductor version: Development (3.19)

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 "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Details

biocViews ExperimentData, MicroarrayData
Version 1.23.0
License GPL-2
Depends R (>= 2.13.1)
Imports
System Requirements
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Package Archives

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

Source Package GSBenchMark_1.23.0.tar.gz
Windows Binary
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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