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DiffCorr  

Analyzing and Visualizing Differential Correlation Networks in Biological Data
View on CRAN: Click here


Download and install DiffCorr package within the R console
Install from CRAN:
install.packages("DiffCorr")

Install from Github:
library("remotes")
install_github("cran/DiffCorr")

Install by package version:
library("remotes")
install_version("DiffCorr", "0.4.4")



Attach the package and use:
library("DiffCorr")
Maintained by
Atsushi Fukushima
[Scholar Profile | Author Map]
First Published: 2015-04-02
Latest Update: 2023-08-25
Description:
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.
How to cite:
Atsushi Fukushima (2015). DiffCorr: Analyzing and Visualizing Differential Correlation Networks in Biological Data. R package version 0.4.4, https://cran.r-project.org/web/packages/DiffCorr. Accessed 06 May. 2025.
Previous versions and publish date:
0.4.1 (2015-04-02 00:07), 0.4.2 (2022-05-01 17:20), 0.4.3 (2023-08-25 11:40)
Other packages that cited DiffCorr R package
View DiffCorr citation profile
Other R packages that DiffCorr depends, imports, suggests or enhances
Complete documentation for DiffCorr
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