DGCA
DGCA is an R tool to analyze the differential correlation of matrices using conditions defined by a design matrix in gene expression data. The DGCA contains functions for filtering, processing, saving, visualizing, and interpreting differential correlations of identifier pairs across the entire identifier space or concerning a particular set of identifiers, differential correlation analysis on clusters, and generation of empirical p-values.
Topic
Gene expression;Systems biology;Gene and protein families
Detail
Operation: Differential gene expression analysis
Software interface: Library
Language: R
License: GNU General Public License v3
Cost: Free
Version name: 1.0.2
Credit: NIH-National Institute on Aging, NIH-National Cancer Institute (NCI, http:--www.cancer.gov-), NIH-National Institute of Allergy and Infectious Diseases.
Input: -
Output: -
Contact: Andrew McKenzie amckenz@gmail.com
Collection: -
Maturity: Stable
Publications
- DGCA: A comprehensive R package for Differential Gene Correlation Analysis.
- McKenzie AT, Katsyv I, Song WM, Wang M, Zhang B. DGCA: A comprehensive R package for Differential Gene Correlation Analysis. BMC Syst Biol. 2016 Nov 15;10(1):106. doi: 10.1186/s12918-016-0349-1. PMID: 27846853; PMCID: PMC5111277.
- https://doi.org/10.1186/s12918-016-0349-1
- PMID: 27846853
- PMC: PMC5111277
Download and documentation
Source: https://cran.r-project.org/src/contrib/DGCA_1.0.2.tar.gz
Documentation: https://cran.r-project.org/web/packages/DGCA/DGCA.pdf
Home page: https://cran.r-project.org/web/packages/DGCA/index.html
Links: https://cran.r-project.org/web/packages/DGCA/vignettes/DGCA_basic.html
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