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: 0.4.1
Depends: pcaMethods, igraph, fdrtool, multtest
Published: 2015-04-02
Author: Atsushi Fukushima, Kozo Nishida
Maintainer: Atsushi Fukushima <atsushi.fukushima at riken.jp>
NeedsCompilation: no
Materials: README
CRAN checks: DiffCorr results


Reference manual: DiffCorr.pdf
Package source: DiffCorr_0.4.1.tar.gz
Windows binaries: r-devel: DiffCorr_0.4.1.zip, r-release: DiffCorr_0.4.1.zip, r-oldrel: DiffCorr_0.4.1.zip
macOS binaries: r-release: DiffCorr_0.4.1.tgz, r-oldrel: DiffCorr_0.4.1.tgz

Reverse dependencies:

Reverse imports: diffcoexp


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