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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).

Type Size Name Uploaded Downloads Labels
conda 251.4 kB | linux-64/r-genenet-1.2.13-r3.4.1_0.tar.bz2  7 years and 4 months ago 753 main cf201901
conda 251.3 kB | osx-64/r-genenet-1.2.13-r3.4.1_0.tar.bz2  7 years and 4 months ago 3970 main cf201901
conda 249.1 kB | linux-64/r-genenet-1.2.13-r3.3.2_0.tar.bz2  7 years and 8 months ago 898 main cf201901
conda 248.7 kB | osx-64/r-genenet-1.2.13-r3.3.2_0.tar.bz2  7 years and 8 months ago 249 main cf201901
conda 246.8 kB | osx-64/r-genenet-1.2.13-r3.3.1_0.tar.bz2  8 years and 4 months ago 80 main cf201901
conda 246.7 kB | linux-64/r-genenet-1.2.13-r3.3.1_0.tar.bz2  8 years and 4 months ago 679 main cf201901
conda 246.0 kB | osx-64/r-genenet-1.2.13-r3.2.2_0.tar.bz2  8 years and 8 months ago 329 main cf201901
conda 246.0 kB | linux-64/r-genenet-1.2.13-r3.2.2_0.tar.bz2  8 years and 8 months ago 768 main cf201901

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