GSBenchMark
This is the released version of GSBenchMark; for the devel version, see GSBenchMark.
Gene Set Benchmark
Bioconductor version: Release (3.20)
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("GSBenchMark")):
Installation
To install this package, start R (version "4.4") 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 | R Script | |
| Reference Manual |
Details
| biocViews | ExperimentData, MicroarrayData |
| Version | 1.26.0 |
| License | GPL-2 |
| Depends | R (>= 2.13.1) |
| Imports | |
| System Requirements | |
| URL |
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.
| Source Package | GSBenchMark_1.26.0.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/ |
| Package Downloads Report | Download Stats |