CausalR

DOI: 10.18129/B9.bioc.CausalR    

Causal network analysis methods

Bioconductor version: Release (3.7)

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, enter citation("CausalR")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("CausalR")

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, Microarray, Network, Network Inference, Proteomics, RNASeq, Software, SystemsBiology, Transcriptomics
Version 1.12.0
In Bioconductor since BioC 3.2 (R-3.2) (3 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_1.12.0.tar.gz
Windows Binary CausalR_1.12.0.zip
Mac OS X 10.11 (El Capitan) CausalR_1.12.0.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 http://bioconductor.org/packages/CausalR/
Package Downloads Report Download Stats

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