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Differential Gene Correlation Analysis DGCA


An R package for systematically assessing the difference in gene-gene regulatory relationships under different conditions. DGCA 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). It also contains several functions to perform differential correlation analysis on clusters (i.e., modules) or genes. Finally, it proposes functions to generate empirical p-values for the hypothesis tests and adjust them for multiple comparisons. This user-friendly, effective, and comprehensive software tool will facilitate the application of differential correlation analysis in many biological studies and thus will help identification of novel signalling pathways, biomarkers, and targets in complex biological systems and diseases.

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DGCA classification

DGCA specifications

Software type:
Restrictions to use:
Output data:
Differentially correlated gene pairs for visualization, gene ontology (GO) enrichment, and/or network construction
Programming languages:
Computer skills:
Command line interface
Input data:
A matrix of gene expression values, a design matrix specifying conditions associated with samples, and a specification of the conditions for comparison
Operating system:
Unix/Linux, Mac OS, Windows
GNU General Public License version 3.0
WGCNA, matrixStats, methods

DGCA distribution


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DGCA support



  • Bin Zhang <>


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Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Funding source(s)

This work was supported by the grants F30AG052261 and R01AG046170 from the NIH/National Institute on Aging (NIA), R01CA163772 from NIH/National Cancer Institute (NCI), and U01AI111598-01 from NIH/National Institute of Allergy and Infectious Diseases (NIAID).

Link to literature

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