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.
|Depends:||pcaMethods, igraph, fdrtool, multtest|
|Author:||Atsushi Fukushima, Kozo Nishida|
|Maintainer:||Atsushi Fukushima <atsushi.fukushima at riken.jp>|
|CRAN checks:||DiffCorr results|
|Windows binaries:||r-devel: DiffCorr_0.4.1.zip, r-release: DiffCorr_0.4.1.zip, r-oldrel: DiffCorr_0.4.1.zip|
|OS X El Capitan binaries:||r-release: not available|
|OS X Mavericks binaries:||r-oldrel: DiffCorr_0.4.1.tgz|
Please use the canonical form https://CRAN.R-project.org/package=DiffCorr to link to this page.