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 gmail.com> |
License: | GPL (≥ 3) |
URL: | https://strimmerlab.github.io/software/genenet/ |
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: GeneNet_1.2.16.zip, r-release: GeneNet_1.2.16.zip, r-oldrel: GeneNet_1.2.16.zip |
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 depends: | splineTimeR |
Reverse imports: | ccid, MetNet, nethet |
Reverse suggests: | dcanr, ebdbNet |
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