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: 1.2.11
Depends: R (≥ 2.15.1), corpcor (≥ 1.6.7), longitudinal (≥ 1.1.10), fdrtool (≥ 1.2.13), igraph (≥ 0.6)
Published: 2014-11-16
Author: Juliane Schaefer, Rainer Opgen-Rhein, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries, gR
CRAN checks: GeneNet results


Reference manual: GeneNet.pdf
Package source: GeneNet_1.2.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: GeneNet_1.2.11.tgz, r-oldrel: GeneNet_1.2.11.tgz
OS X Mavericks binaries: r-release: GeneNet_1.2.11.tgz
Old sources: GeneNet archive

Reverse dependencies:

Reverse depends: ENA, parcor, rags2ridges
Reverse suggests: ebdbNet