This is the development version of GSBenchMark; for the stable release version, see GSBenchMark.
Gene Set BenchmarkBioconductor version: Development (3.22)
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, entercitation("GSBenchMark")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo 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 See More Suggests Linking To Enhances Depends On Me Imports Me Suggests Me GSReg Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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