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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 2.8 MB | linux-64/r-wgcna-1.68-r36h0357c0b_1.tar.bz2  5 years and 3 months ago 593 main
conda 2.9 MB | osx-64/r-wgcna-1.68-r36hf99fc2c_1.tar.bz2  5 years and 3 months ago 3834 main
conda 2.8 MB | linux-64/r-wgcna-1.68-r351h29659fb_0.tar.bz2  5 years and 3 months ago 550 main
conda 2.9 MB | osx-64/r-wgcna-1.68-r351h466af19_0.tar.bz2  5 years and 3 months ago 245 main

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