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Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Type Size Name Uploaded Downloads Labels
conda 1.7 MB | osx-64/r-wgcna-1.51-r3.4.1_1.tar.bz2  7 years and 2 months ago 4006 main cf201901
conda 1.7 MB | linux-64/r-wgcna-1.51-r3.4.1_1.tar.bz2  7 years and 2 months ago 954 main cf201901
conda 1.7 MB | osx-64/r-wgcna-1.51-r3.3.2_1.tar.bz2  7 years and 2 months ago 193 main cf201901
conda 1.7 MB | linux-64/r-wgcna-1.51-r3.3.2_1.tar.bz2  7 years and 2 months ago 986 main cf201901
conda 1.7 MB | linux-64/r-wgcna-1.51-r3.3.2_0.tar.bz2  7 years and 5 months ago 925 main cf201901
conda 1.7 MB | osx-64/r-wgcna-1.51-r3.3.2_0.tar.bz2  7 years and 5 months ago 406 main cf201901
conda 1.7 MB | osx-64/r-wgcna-1.51-r3.3.1_0.tar.bz2  7 years and 11 months ago 259 main cf201901
conda 1.7 MB | linux-64/r-wgcna-1.51-r3.3.1_0.tar.bz2  7 years and 11 months ago 1455 main cf201901

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