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
Package details 


Author  Bin Zhang [aut], Andrew McKenzie [aut, cre] 
Date of publication  20161117 18:33:47 
Maintainer  Andrew McKenzie <amckenz@gmail.com> 
License  GPL3 
Version  1.0.1 
Package repository  View on CRAN 
Installation 
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