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GOstats

This is the development version of GOstats; for the stable release version, see GOstats.

Tools for manipulating GO and microarrays


Bioconductor version: Development (3.19)

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], Sonali Kumari [ctb] (Converted vignettes from Sweave to R Markdown / HTML.), Dennis Ndubi [ctb] (Converted GOstatsHyperG vignette from Sweave to R Markdown / HTML.), 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 "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GOstats")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Annotation, GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, MultipleComparison, Pathways, Software
Version 2.69.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 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
System Requirements
URL
See More
Suggests hgu95av2.db(>= 1.13.0), ALL, multtest, genefilter, RColorBrewer, xtable, SparseM, GSEABase, geneplotter, org.Hs.eg.db, RUnit, BiocGenerics, BiocStyle, knitr
Linking To
Enhances
Depends On Me MineICA, PloGO2
Imports Me affycoretools, attract, categoryCompare, GmicR, ideal, miRLAB, netZooR, pcaExplorer, ReportingTools, scTensor, SGCP
Suggests Me a4, Category, fastLiquidAssociation, fgga, GSEAlm, interactiveDisplay, MineICA, MLP, qpgraph, RnBeads, safe
Links To Me
Build Report Build Report

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64) GOstats_2.69.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/GOstats
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GOstats
Bioc Package Browser https://code.bioconductor.org/browse/GOstats/
Package Short Url https://bioconductor.org/packages/GOstats/
Package Downloads Report Download Stats