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:	0.4.4
Depends:	fdrtool, igraph, multtest, pcaMethods
Imports:	graphics, grDevices, stats, utils
Suggests:	knitr, prettydoc, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-09-30
DOI:	10.32614/CRAN.package.DiffCorr
Author:	Atsushi Fukushima [aut, cre], Kozo Nishida [aut]
Maintainer:	Atsushi Fukushima <afukushima at gmail.com>
License:
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
In views:	Omics
CRAN checks:	DiffCorr results

Documentation:

Reference manual:	DiffCorr.pdf
Vignettes:	DiffCorr (source, R code)

Downloads:

Package source:	DiffCorr_0.4.4.tar.gz
Windows binaries:	r-devel: DiffCorr_0.4.4.zip, r-release: DiffCorr_0.4.4.zip, r-oldrel: DiffCorr_0.4.4.zip
macOS binaries:	r-release (arm64): DiffCorr_0.4.4.tgz, r-oldrel (arm64): DiffCorr_0.4.4.tgz, r-release (x86_64): DiffCorr_0.4.4.tgz, r-oldrel (x86_64): DiffCorr_0.4.4.tgz
Old sources:	DiffCorr archive

Reverse dependencies:

Reverse imports:

diffcoexp

Linking:

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