GOpro

DOI: 10.18129/B9.bioc.GOpro  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see GOpro.

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

Bioconductor version: 3.17

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>

Installation

To install this package, start R (version "4.3") 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")

 

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

Details

biocViews	Annotation, Clustering, GO, GeneExpression, GeneSetEnrichment, MultipleComparison, Software
Version	1.26.0
In Bioconductor since	BioC 3.4 (R-3.3) (7 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
LinkingTo	Rcpp, BH
Suggests	knitr, rmarkdown, RTCGA.PANCAN12, BiocStyle, testthat
SystemRequirements
Enhances
URL	https://github.com/mi2-warsaw/GOpro
BugReports	https://github.com/mi2-warsaw/GOpro/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	GOpro_1.26.0.tar.gz
Windows Binary	GOpro_1.26.0.zip (64-bit only)
macOS Binary (x86_64)	GOpro_1.26.0.tgz
macOS Binary (arm64)	GOpro_1.26.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GOpro
Source Repository (Developer Access)	git clone [email protected]:packages/GOpro
Bioc Package Browser	https://code.bioconductor.org/browse/GOpro/
Package Short Url	https://bioconductor.org/packages/GOpro/
Package Downloads Report	Download Stats