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 (,

Author: Lidia Chrabaszcz

Maintainer: Lidia Chrabaszcz <chrabaszcz.lidia at>

Citation (from within R, enter citation("GOpro")):


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HTML R Script GOpro: Determine groups of genes and find their characteristic GO term
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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,, GO.db, Rcpp, stats, graphics, MultiAssayExperiment, IRanges, S4Vectors
LinkingTo Rcpp, BH
Suggests knitr, rmarkdown, RTCGA.PANCAN12, BiocStyle, testthat
Depends On Me
Imports Me
Suggests Me
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Source Package GOpro_1.4.2.tar.gz
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