The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Reference manual: | DiffCorr.pdf |
Vignettes: |
DiffCorr (source, R code) |
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 imports: | diffcoexp |
Please use the canonical form https://CRAN.R-project.org/package=DiffCorr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.