CausalR

DOI: 10.18129/B9.bioc.CausalR    

Causal network analysis methods

Bioconductor version: Release (3.15)

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>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("CausalR")

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

Documentation

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

browseVignettes("CausalR")

 

PDF	R Script	CausalR.pdf
PDF		Reference Manual

Details

biocViews	DifferentialExpression, GraphAndNetwork, ImmunoOncology, Microarray, Network, Network Inference, Proteomics, RNASeq, Software, SystemsBiology, Transcriptomics
Version	1.28.0
In Bioconductor since	BioC 3.2 (R-3.2) (7 years)
License	GPL (>= 2)
Depends	R (>= 3.2.0)
Imports	igraph
LinkingTo
Suggests	knitr, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	CausalR_1.28.0.tar.gz
Windows Binary	CausalR_1.28.0.zip
macOS Binary (x86_64)	CausalR_1.28.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CausalR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CausalR
Package Short Url	https://bioconductor.org/packages/CausalR/
Package Downloads Report	Download Stats