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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: | 0.4.3 |
| Depends: | pcaMethods, igraph, fdrtool, multtest |
| Published: | 2023-08-25 |
| Author: | Atsushi Fukushima [aut, cre], Kozo Nishida [aut] |
| Maintainer: | Atsushi Fukushima <afukushima at gmail.com> |
| License: | |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | Omics |
| CRAN checks: | DiffCorr results |
| Reference manual: | DiffCorr.pdf |
| Package source: | DiffCorr_0.4.3.tar.gz |
| Windows binaries: | r-devel: DiffCorr_0.4.3.zip, r-release: DiffCorr_0.4.3.zip, r-oldrel: DiffCorr_0.4.3.zip |
| macOS binaries: | r-release (arm64): DiffCorr_0.4.3.tgz, r-oldrel (arm64): DiffCorr_0.4.3.tgz, r-release (x86_64): DiffCorr_0.4.3.tgz, r-oldrel (x86_64): DiffCorr_0.4.3.tgz |
| Old sources: | DiffCorr archive |
| Reverse imports: | diffcoexp |
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