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: 1.2.16
Depends: R (≥ 3.0.2), corpcor (≥ 1.6.10), longitudinal (≥ 1.1.13), fdrtool (≥ 1.2.17)
Imports: stats, grDevices
Suggests: graph, Rgraphviz
Published: 2021-11-14
DOI: 10.32614/CRAN.package.GeneNet
Author: Juliane Schaefer, Rainer Opgen-Rhein, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
In views: GraphicalModels, Omics
CRAN checks: GeneNet results


Reference manual: GeneNet.pdf


Package source: GeneNet_1.2.16.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GeneNet_1.2.16.tgz, r-oldrel (arm64): GeneNet_1.2.16.tgz, r-release (x86_64): GeneNet_1.2.16.tgz, r-oldrel (x86_64): GeneNet_1.2.16.tgz
Old sources: GeneNet archive

Reverse dependencies:

Reverse depends: splineTimeR
Reverse imports: ccid, MetNet, nethet
Reverse suggests: dcanr, ebdbNet


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