GOstats

DOI: 10.18129/B9.bioc.GOstats    

Tools for manipulating GO and microarrays

Bioconductor version: Release (3.15)

A set of tools for interacting with GO and microarray data. A variety of basic manipulation tools for graphs, hypothesis testing and other simple calculations.

Author: Robert Gentleman [aut], Seth Falcon [ctb], Robert Castelo [ctb], Bioconductor Package Maintainer [cre]

Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("GOstats")

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("GOstats")

 

PDF	R Script	Hypergeometric tests for less common model organisms
PDF	R Script	Hypergeometric Tests Using GOstats
PDF	R Script	Visualizing Data Using GOstats
PDF		Reference Manual

Details

biocViews	Annotation, GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, MultipleComparison, Pathways, Software
Version	2.62.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 17.5 years)
License	Artistic-2.0
Depends	R (>= 2.10), Biobase(>= 1.15.29), Category(>= 2.43.2), graph
Imports	methods, stats, stats4, AnnotationDbi(>= 0.0.89), GO.db(>= 1.13.0), RBGL, annotate(>= 1.13.2), AnnotationForge, Rgraphviz
LinkingTo
Suggests	hgu95av2.db(>= 1.13.0), ALL, multtest, genefilter, RColorBrewer, xtable, SparseM, GSEABase, geneplotter, org.Hs.eg.db, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me	MineICA, PloGO2
Imports Me	affycoretools, attract, categoryCompare, GmicR, ideal, MIGSA, miRLAB, netZooR, pcaExplorer, ReportingTools, scTensor
Suggests Me	a4, Category, fastLiquidAssociation, fgga, GSEAlm, interactiveDisplay, MineICA, MLP, qpgraph, RnBeads, safe
Links To Me
Build Report

Package Archives

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

Source Package	GOstats_2.62.0.tar.gz
Windows Binary	GOstats_2.62.0.zip
macOS Binary (x86_64)	GOstats_2.62.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GOstats
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GOstats
Package Short Url	https://bioconductor.org/packages/GOstats/
Package Downloads Report	Download Stats