DGCA: Differential Gene Correlation Analysis
Version 1.0.1

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 .

Package details

AuthorBin Zhang [aut], Andrew McKenzie [aut, cre]
Date of publication2016-11-17 18:33:47
MaintainerAndrew McKenzie <amckenz@gmail.com>
LicenseGPL-3
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("DGCA")

Try the DGCA package in your browser

Any scripts or data that you put into this service are public.

DGCA documentation built on May 29, 2017, 11:45 p.m.