A method for identifying pattern changes between 2 experimental conditions in correlation networks (e.g., gene coexpression networks), which builds on a commonly used association measure, such as Pearson's correlation coefficient. This package includes functions to calculate correlation matrices for highdimensional dataset and to test differential correlation, which means the changes in the correlation relationship among variables (e.g., genes and metabolites) between 2 experimental conditions.
Package details 


Author  Atsushi Fukushima, Kozo Nishida 
Maintainer  Atsushi Fukushima <atsushi.fukushima@riken.jp> 
License  GPL (> 3) 
Version  0.4.1 
Package repository  View on CRAN 
Installation 
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