GOpro

DOI: 10.18129/B9.bioc.GOpro    

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

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GOpro")

Documentation

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	1.4.2
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 years)
License	GPL-3
Depends	R (>= 3.4)
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
Build Report

Package Archives

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

Source Package	GOpro_1.4.2.tar.gz
Windows Binary	GOpro_1.4.2.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	GOpro_1.4.2.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GOpro
Package Short Url	http://bioconductor.org/packages/GOpro/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive