DOI: 10.18129/B9.bioc.Informeasure  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see Informeasure.

R implementation of Information measures

Bioconductor version: 3.16

This package compiles most of the information measures currently available: mutual information, conditional mutual information, interaction information, partial information decomposition and part mutual information. All of these estimators can be used to quantify nonlinear dependence between variables in (biological regulatory) network inference. The first estimator is used to infer bivariate networks while the last four estimators are dedicated to analysis of trivariate networks.

Author: Chu Pan [aut, cre]

Maintainer: Chu Pan <chu.pan at>

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


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HTML R Script Informeasure: a tool to quantify nonlinear dependence between variables in biological regulatory networks from an information theory perspective
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biocViews GeneExpression, Network, NetworkInference, Software
Version 1.8.0
In Bioconductor since BioC 3.12 (R-4.0) (2.5 years)
License GPL-3
Depends R (>= 4.0)
Imports entropy
Suggests knitr, rmarkdown, testthat, SummarizedExperiment
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