DiffCorr: Analyzing and Visualizing Differential Correlation Networks inBiological 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 |
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