A method for identifying pattern changes between 2 experimental conditions in correlation networks (e.g., gene co-expression networks), which builds on a commonly used association measure, such as Pearson's correlation coefficient. This package includes functions to calculate correlation matrices for high-dimensional 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.
|Author||Atsushi Fukushima, Kozo Nishida|
|Maintainer||Atsushi Fukushima <email@example.com>|
|License||GPL (> 3)|
|Package repository||View on CRAN|
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