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: 1.2.4
Depends: R (≥ 2.7.0), corpcor (≥ 1.5.3), longitudinal (≥ 1.1.5), fdrtool (≥ 1.2.5)
Suggests: graph (≥ 1.4.0), Rgraphviz (≥ 1.4.0)
Published: 2009-10-11
Author: Juliane Schaefer, Rainer Opgen-Rhein, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmer at uni-leipzig.de>
License: GPL (≥ 3)
URL: http://strimmerlab.org/software/genenet/
In views: TimeSeries
CRAN checks: GeneNet results

Downloads:

Package source: GeneNet_1.2.4.tar.gz
MacOS X binary: GeneNet_1.2.4.tgz
Windows binary: GeneNet_1.2.4.zip
Reference manual: GeneNet.pdf
News/ChangeLog:NEWS
Old sources: GeneNet archive

Reverse dependencies:

Reverse depends: parcor
Reverse suggests: ebdbNet