Performs differential correlation analysis on input matrices, with multiple conditions specified by a design matrix. Contains functions to filter, process, save, visualize, and interpret differential correlations of identifierpairs across the entire identifier space, or with respect to a particular set of identifiers (e.g., one). Also contains several functions to perform differential correlation analysis on clusters (i.e., modules) or genes. Finally, it contains functions to generate empirical pvalues for the hypothesis tests and adjust them for multiple comparisons. Although the package was built with gene expression data in mind, it is applicable to other types of genomics data as well, in addition to being potentially applicable to data from other fields entirely. It is described more fully in the manuscript introducing it, freely available at <doi:10.1186/s1291801603491>.
Package details 


Author  Bin Zhang [aut], Andrew McKenzie [aut, cre], Ryan Neff [edit] 
Maintainer  Ryan Neff <ryan.neff@icahn.mssm.edu> 
License  GPL3 
Version  2.0.0 
Package repository  View on GitHub 
Installation 
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