This is the development version of CausalR; for the stable release version, see CausalR.
Causal network analysis methodsBioconductor version: Development (3.22)
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 gsk.com>, Steven Barrett <steven.j.barrett at gsk.com>
Citation (from within R, entercitation("CausalR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CausalR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CausalR")
Details biocViews DifferentialExpression, GraphAndNetwork, ImmunoOncology, Microarray, Network, Network Inference, Proteomics, RNASeq, Software, SystemsBiology, Transcriptomics Version 1.41.0 In Bioconductor since BioC 3.2 (R-3.2) (9.5 years) License GPL (>= 2) Depends R (>= 3.2.0) Imports igraph System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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