DOI: 10.18129/B9.bioc.Informeasure    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see Informeasure.

R implementation of Information measures

Bioconductor version: 3.12

This package compiles most information measures currently available: mutual information, conditional mutual information, interaction information, partial information decomposition and part mutual information. Using gene expression profile data, all these estimators can be employed to quantify nonlinear dependence between variables in biological regulatory network inference. The first estimator is used to infer bivariate network while the last four estimators are dedicated to analyze 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 non-linear dependence between variables in biological regulatory networks from an information theory perspective
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biocViews GeneExpression, Network, NetworkInference, Software
Version 1.0.0
In Bioconductor since BioC 3.12 (R-4.0) (0.5 years)
License GPL-3
Depends R (>= 4.0)
Imports entropy, matrixStats
Suggests knitr, rmarkdown, testthat, SummarizedExperiment
Depends On Me
Imports Me
Suggests Me
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