DiffCorr: Analyzing and Visualizing Differential Correlation Networks in
Biological Data
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: |
0.4.5 |
| Depends: |
R (≥ 3.5.0), fdrtool, igraph, multtest, pcaMethods |
| Imports: |
graphics, grDevices, stats, utils |
| Suggests: |
knitr, prettydoc, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2025-06-08 |
| Author: |
Atsushi Fukushima [aut, cre],
Kozo Nishida [aut] |
| Maintainer: |
Atsushi Fukushima <afukushima at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| In views: |
Omics |
| CRAN checks: |
DiffCorr results [issues need fixing before 2025-06-16] |
Documentation:
Downloads:
Reverse dependencies:
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