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>

Citation (from within R, enter citation("GOstats")):

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

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