CausalR

This is thereleased version of CausalR; for the devel version, seeCausalR.

Causal network analysis methods

Bioconductor version: Release (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")):

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("CausalR")

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

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

browseVignettes("CausalR")

CausalR.pdf	PDF	R Script
Reference Manual	PDF

biocViews	DifferentialExpression,GraphAndNetwork,ImmunoOncology,Microarray,Network,Network Inference,Proteomics,RNASeq,Software,SystemsBiology,Transcriptomics
Version	1.42.0
In Bioconductor since	BioC 3.2 (R-3.2) (10 years)
License	GPL (>= 2)
Depends	R (>= 3.2.0)
Imports	igraph
System Requirements
URL

FollowInstallation instructions to use this package in your R session.

Source Package	CausalR_1.42.0.tar.gz
Windows Binary (x86_64)	CausalR_1.42.0.zip (64-bit only)
macOS Binary (x86_64)	CausalR_1.42.0.tgz
macOS Binary (arm64)	CausalR_1.42.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CausalR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CausalR
Bioc Package Browser	https://code.bioconductor.org/browse/CausalR/
Package Short Url	https://bioconductor.org/packages/CausalR/
Package Downloads Report	Download Stats