CausalR
Causal network analysis methods
Bioconductor version: Release (3.17)
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("CausalR")
):
Installation
To install this package, start R (version "4.3") 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")
CausalR.pdf | R Script | |
Reference Manual |
Details
biocViews | DifferentialExpression, GraphAndNetwork, ImmunoOncology, Microarray, Network, Network Inference, Proteomics, RNASeq, Software, SystemsBiology, Transcriptomics |
Version | 1.32.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (8 years) |
License | GPL (>= 2) |
Depends | R (>= 3.2.0) |
Imports | igraph |
Linking To | |
Suggests | knitr, RUnit, BiocGenerics |
System Requirements | |
Enhances | |
URL |
See More
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_1.32.0.tar.gz |
Windows Binary | CausalR_1.32.0.zip |
macOS Binary (x86_64) | CausalR_1.32.0.tgz |
macOS Binary (arm64) | CausalR_1.32.0.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 |