GSBenchMark

DOI: 10.18129/B9.bioc.GSBenchMark    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see GSBenchMark.

Gene Set Benchmark

Bioconductor version: 3.8

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>

Installation

To install this package, start R (version "3.5") 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	1.2.0
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_1.2.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
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	http://bioconductor.org/packages/GSBenchMark/
Package Downloads Report	Download Stats