GeneNet: Modeling and Inferring Gene Networks

Analyzes 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: 1.2.13
Depends: R (≥ 3.0.2), corpcor (≥ 1.6.8), longitudinal (≥ 1.1.12), fdrtool (≥ 1.2.15)
Imports: stats, grDevices
Suggests: graph, Rgraphviz
Published: 2015-08-02
Author: Juliane Schaefer, Rainer Opgen-Rhein, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab at gmail.com>
License: GPL (≥ 3)
URL: http://strimmerlab.org/software/genenet/
NeedsCompilation: no
Materials: NEWS
In views: gR
CRAN checks: GeneNet results

Downloads:

Reference manual: GeneNet.pdf
Package source: GeneNet_1.2.13.tar.gz
Windows binaries: r-devel: GeneNet_1.2.13.zip, r-release: GeneNet_1.2.13.zip, r-oldrel: GeneNet_1.2.13.zip
OS X Snow Leopard binaries: r-release: GeneNet_1.2.13.tgz, r-oldrel: GeneNet_1.2.12.tgz
OS X Mavericks binaries: r-release: GeneNet_1.2.13.tgz
Old sources: GeneNet archive

Reverse dependencies:

Reverse depends: parcor
Reverse suggests: ebdbNet