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GOpro

This is the development version of GOpro; for the stable release version, see GOpro.

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


Bioconductor version: Development (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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GOpro")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Annotation, Clustering, GO, GeneExpression, GeneSetEnrichment, MultipleComparison, Software
Version 1.29.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 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
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
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
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 https://bioconductor.org/packages/GOpro/
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