To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

GOpro

DOI: 10.18129/B9.bioc.GOpro

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

Bioconductor version: Release (3.5)

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

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

Details

Version 1.2.0
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
License GPL-3
Depends R (>= 3.4)
LinkingTo Rcpp, BH
SystemRequirements
Enhances
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Source Package GOpro_1.2.0.tar.gz
Windows Binary GOpro_1.2.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) GOpro_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GOpro
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