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DGCA  

Differential Gene Correlation Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DGCA", "1.0.3")



Attach the package and use:
library("DGCA")
Maintained by
Andrew McKenzie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-17
Latest Update: 2023-03-15
Description:
Performs differential correlation analysis on input matrices, with multiple conditions specified by a design matrix. Contains functions to filter, process, save, visualize, and interpret differential correlations of identifier-pairs across the entire identifier space, or with respect to a particular set of identifiers (e.g., one). Also contains several functions to perform differential correlation analysis on clusters (i.e., modules) or genes. Finally, it contains functions to generate empirical p-values for the hypothesis tests and adjust them for multiple comparisons. Although the package was built with gene expression data in mind, it is applicable to other types of genomics data as well, in addition to being potentially applicable to data from other fields entirely. It is described more fully in the manuscript introducing it, freely available at .
How to cite:
Andrew McKenzie (2016). DGCA: Differential Gene Correlation Analysis. R package version 1.0.3, https://cran.r-project.org/web/packages/DGCA
Previous versions and publish date:
1.0.1 (2016-11-17 18:33), 1.0.2 (2019-12-09 11:30), 1.0.3 (2023-03-16 00:40)
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