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> |
| License: | |
| 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 |
| OS X binaries: | r-release: not available, r-oldrel: DiffCorr_0.4.1.tgz |
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