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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.

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conda 2.9 MB | osx-64/r-wgcna-1.73-r43h3f1888f_0.tar.bz2  2 months and 5 days ago 152 main
conda 2.9 MB | linux-64/r-wgcna-1.73-r43h21a89ab_0.tar.bz2  2 months and 5 days ago 271 main
conda 2.9 MB | linux-aarch64/r-wgcna-1.73-r43hb19973c_0.tar.bz2  2 months and 5 days ago 21 main

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