To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("RTN")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This package provides classes and methods for transcriptional network inference and analysis. Modulators of transcription factor activity are assessed by conditional mutual information, and master regulators are mapped to phenotypes using different strategies, e.g., gene set enrichment, shadow and synergy analyses.
Author: Mauro Castro, Xin Wang, Michael Fletcher, Florian Markowetz and Kerstin Meyer
Maintainer: Mauro Castro <mauro.a.castro at gmail.com>
Citation (from within R,
enter citation("RTN")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("RTN")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RTN")
R Script | Main vignette: reconstruction and analysis of transcriptional networks in R | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, GeneRegulation, GraphsAndNetworks, NetworkAnalysis, NetworkEnrichment, NetworkInference, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-3.0) |
License | Artistic-2.0 |
Depends | R (>= 2.15), methods, igraph |
Imports | minet, snow, limma, RedeR(>= 1.8.1) |
Suggests | HTSanalyzeR, RUnit, BiocGenerics |
System Requirements | |
URL | http://dx.doi.org/10.1038/ncomms3464 |
Depends On Me | Fletcher2013b |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | RTN_1.0.0.tar.gz |
Windows Binary | RTN_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | RTN_1.0.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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