GeneNet: Modeling and Inferring Gene Networks

GeneNet is a package for analyzing gene expression (time series) data with focus on the inference of gene networks. In particular, GeneNet implements the methods of Schaefer and Strimmer (2005a,b,c) and Opgen-Rhein and Strimmer (2006, 2007) for learning large-scale gene association networks (including assignment of putative directions).

Version: 1.2.2
Depends: R (≥ 2.7.0), corpcor (≥ 1.4.7), longitudinal (≥ 1.1.3), fdrtool (≥ 1.2.0)
Suggests: graph (≥ 1.4.0), Rgraphviz (≥ 1.4.0)
Date: 2008-08-17
Author: Rainer Opgen-Rhein, Juliane Schaefer, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmer at uni-leipzig.de>
License: GPL (≥ 3)
URL: http://www.strimmerlab.org/software/genenet/
CRAN checks: GeneNet results

Downloads:

Package source: GeneNet_1.2.2.tar.gz
MacOS X binary: GeneNet_1.2.2.tgz
Windows binary: GeneNet_1.2.2.zip
Reference manual: GeneNet.pdf
Old sources: GeneNet archive