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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.
Getting started
Browse package contents
Package details |
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| Author | Atsushi Fukushima [aut, cre], Kozo Nishida [aut] |
| Maintainer | Atsushi Fukushima <afukushima@gmail.com> |
| License | GPL (> 3) |
| Version | 0.4.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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