GOpro

DOI: 10.18129/B9.bioc.GOpro    

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

Bioconductor version: Release (3.7)

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 and enter:

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

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 1.6.0
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_1.6.0.tar.gz
Windows Binary GOpro_1.6.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) GOpro_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GOpro
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GOpro
Package Short Url http://bioconductor.org/packages/GOpro/
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