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Functional similarities

Bioconductor version: Release (3.18)

Calculates functional similarities based on the pathways described on KEGG and REACTOME or in gene sets. These similarities can be calculated for pathways or gene sets, genes, or clusters and combined with other similarities. They can be used to improve networks, gene selection, testing relationships...

Author: Lluís Revilla Sancho [aut, cre] , Pau Sancho-Bru [ths] , Juan José Salvatella Lozano [ths]

Maintainer: Lluís Revilla Sancho <lluis.revilla at gmail.com>

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


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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


To view documentation for the version of this package installed in your system, start R and enter:

About BioCor HTML R Script
Advanced usage of BioCor HTML R Script
Reference Manual PDF


biocViews Clustering, GeneExpression, Network, NetworkEnrichment, Pathways, Software, StatisticalMethod, SystemsBiology
Version 1.26.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License MIT + file LICENSE
Depends R (>= 3.4.0)
Imports BiocParallel, GSEABase, Matrix, methods
System Requirements
URL https://bioconductor.org/packages/BioCor https://llrs.github.io/BioCor/
Bug Reports https://github.com/llrs/BioCor/issues
See More
Suggests airway, BiocStyle, boot, DESeq2, ggplot2 (>= 3.4.1), GOSemSim, Hmisc, knitr (>= 1.35), org.Hs.eg.db, reactome.db, rmarkdown, spelling, targetscan.Hs.eg.db, testthat, WGCNA
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Follow Installation instructions to use this package in your R session.

Source Package BioCor_1.26.0.tar.gz
Windows Binary BioCor_1.26.0.zip
macOS Binary (x86_64) BioCor_1.26.0.tgz
macOS Binary (arm64) BioCor_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BioCor
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BioCor
Bioc Package Browser https://code.bioconductor.org/browse/BioCor/
Package Short Url https://bioconductor.org/packages/BioCor/
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