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:	0.4.2
Depends:	pcaMethods, igraph, fdrtool, multtest
Published:	2022-05-01
Author:	Atsushi Fukushima [aut, cre], Kozo Nishida [aut]
Maintainer:	Atsushi Fukushima <afukushima at gmail.com>
License:
NeedsCompilation:	no
Materials:	README
CRAN checks:	DiffCorr results

Documentation:

Reference manual:

DiffCorr.pdf

Downloads:

Package source:	DiffCorr_0.4.2.tar.gz
Windows binaries:	r-devel: DiffCorr_0.4.2.zip, r-release: DiffCorr_0.4.2.zip, r-oldrel: DiffCorr_0.4.2.zip
macOS binaries:	r-release (arm64): DiffCorr_0.4.2.tgz, r-oldrel (arm64): DiffCorr_0.4.2.tgz, r-release (x86_64): DiffCorr_0.4.2.tgz, r-oldrel (x86_64): DiffCorr_0.4.2.tgz
Old sources:	DiffCorr archive

Reverse dependencies:

Reverse imports:

diffcoexp

Linking:

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