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: 0.4.3
Depends: pcaMethods, igraph, fdrtool, multtest
Published: 2023-08-25
DOI: 10.32614/CRAN.package.DiffCorr
Author: Atsushi Fukushima [aut, cre], Kozo Nishida [aut]
Maintainer: Atsushi Fukushima <afukushima at gmail.com>
NeedsCompilation: no
Materials: README
In views: Omics
CRAN checks: DiffCorr results


Reference manual: DiffCorr.pdf


Package source: DiffCorr_0.4.3.tar.gz
Windows binaries: r-devel: DiffCorr_0.4.3.zip, r-release: DiffCorr_0.4.3.zip, r-oldrel: DiffCorr_0.4.3.zip
macOS binaries: r-release (arm64): DiffCorr_0.4.3.tgz, r-oldrel (arm64): DiffCorr_0.4.3.tgz, r-release (x86_64): DiffCorr_0.4.3.tgz, r-oldrel (x86_64): DiffCorr_0.4.3.tgz
Old sources: DiffCorr archive

Reverse dependencies:

Reverse imports: diffcoexp


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