This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see GSBenchMark.
Bioconductor version: 3.15
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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GSBenchMark")
R Script | Working with the GSBenchMark package | |
Reference Manual |
biocViews | ExperimentData, MicroarrayData |
Version | 1.16.0 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | GSBenchMark_1.16.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
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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