DiffCorr

DiffCorr-package

Analyze and visualize differential correlations in biological networks

internal

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.

Atsushi Fukushima

Analyzing and Visualizing Differential Correlation Networks in
Biological Data

Kozo Nishida

DiffCorr-package function

Maintainer: Atsushi Fukushima <a href="/link/afukushima%40gmail.com?package=DiffCorr&version=0.4.4" data-mini-rdoc="DiffCorr::afukushima@gmail.com">afukushima@gmail.com</a>
Authors:<ul>
<li>Kozo Nishida <a href="/link/kozo.nishida%40gmail.com?package=DiffCorr&version=0.4.4" data-mini-rdoc="DiffCorr::kozo.nishida@gmail.com">kozo.nishida@gmail.com</a></li>
</ul>

Author

Differential correlations in omics datasets — DiffCorr-package

Maintainer: Atsushi Fukushima <a href='mailto:afukushima@gmail.com'>afukushima@gmail.com</a>
Authors:<ul>
<li>Kozo Nishida <a href='mailto:kozo.nishida@gmail.com'>kozo.nishida@gmail.com</a></li>
</ul>

DiffCorr-package: Differential correlations in omics datasets

Description

Arguments

Author