DiffCorr: Analyzing and Visualizing Differential Correlation Networks in
Biological Data
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.
| Version: | 0.4.5 | 
| Depends: | R (≥ 3.5.0), fdrtool, igraph, multtest, pcaMethods | 
| Imports: | graphics, grDevices, stats, utils | 
| Suggests: | knitr, prettydoc, rmarkdown, testthat (≥ 3.0.0) | 
| Published: | 2025-06-08 | 
| DOI: | 10.32614/CRAN.package.DiffCorr | 
| Author: | Atsushi Fukushima [aut, cre],
  Kozo Nishida [aut] | 
| Maintainer: | Atsushi Fukushima  <afukushima at gmail.com> | 
| License: | GPL-3 | 
| NeedsCompilation: | no | 
| Language: | en-US | 
| Materials: | README, NEWS | 
| In views: | Omics | 
| CRAN checks: | DiffCorr results | 
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=DiffCorr
to link to this page.