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 gmail.com> |
| License: | GPL (≥ 3) |
| URL: | http://strimmerlab.org/software/genenet/ |
| 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: GeneNet_1.2.11.zip, r-release: GeneNet_1.2.11.zip, r-oldrel: GeneNet_1.2.11.zip |
| 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 depends: | ENA, parcor, rags2ridges |
| Reverse suggests: | ebdbNet |