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.
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