GOpro

Find the most characteristic gene ontology terms for groups of human genes


Bioconductor version: Release (3.19)

Find the most characteristic gene ontology terms for groups of human genes. This package was created as a part of the thesis which was developed under the auspices of MI^2 Group (http://mi2.mini.pw.edu.pl/, https://github.com/geneticsMiNIng).

Author: Lidia Chrabaszcz

Maintainer: Lidia Chrabaszcz <chrabaszcz.lidia at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("GOpro")

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("GOpro")
GOpro: Determine groups of genes and find their characteristic GO term HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Annotation, Clustering, GO, GeneExpression, GeneSetEnrichment, MultipleComparison, Software
Version 1.30.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License GPL-3
Depends R (>= 3.5.0)
Imports AnnotationDbi, dendextend, doParallel, foreach, parallel, org.Hs.eg.db, GO.db, Rcpp, stats, graphics, MultiAssayExperiment, IRanges, S4Vectors
System Requirements
URL https://github.com/mi2-warsaw/GOpro
Bug Reports https://github.com/mi2-warsaw/GOpro/issues
See More
Suggests knitr, rmarkdown, RTCGA.PANCAN12, BiocStyle, testthat
Linking To Rcpp, BH
Enhances
Depends On Me
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Suggests Me
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Package Archives

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

Source Package GOpro_1.30.0.tar.gz
Windows Binary (x86_64) GOpro_1.30.0.zip (64-bit only)
macOS Binary (x86_64) GOpro_1.30.0.tgz
macOS Binary (arm64) GOpro_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GOpro
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GOpro
Bioc Package Browser https://code.bioconductor.org/browse/GOpro/
Package Short Url https://bioconductor.org/packages/GOpro/
Package Downloads Report Download Stats