Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. 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.
|Author||Peter Langfelder <[email protected]> and Steve Horvath <[email protected]> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, Ryan Neff, and Bin Zhang|
|Date of publication||2018-02-20 09:57:50 EST|
|Maintainer||Peter Langfelder <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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