DOI: 10.18129/B9.bioc.CausalR    

Causal network analysis methods

Bioconductor version: Release (3.8)

Causal network analysis methods for regulator prediction and network reconstruction from genome scale data.

Author: Glyn Bradley, Steven Barrett, Chirag Mistry, Mark Pipe, David Wille, David Riley, Bhushan Bonde, Peter Woollard

Maintainer: Glyn Bradley <glyn.x.bradley at>, Steven Barrett <steven.j.barrett at>

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


To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("CausalR", version = "3.8")

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:



PDF R Script CausalR.pdf
PDF   Reference Manual


biocViews DifferentialExpression, GraphAndNetwork, ImmunoOncology, Microarray, Network, Network Inference, Proteomics, RNASeq, Software, SystemsBiology, Transcriptomics
Version 1.14.1
In Bioconductor since BioC 3.2 (R-3.2) (3.5 years)
License GPL (>= 2)
Depends R (>= 3.2.0)
Imports igraph
Suggests knitr, RUnit, BiocGenerics
Depends On Me
Imports Me
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Source Package CausalR_1.14.1.tar.gz
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Mac OS X 10.11 (El Capitan) CausalR_1.14.1.tgz
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