DDN: a caBIG® analytical tool for differential network analysis

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DDN is a caBIG analytical tool that detects and visualizes statistically significant topological changes in transcriptional networks representing two biological conditions to define predictive network biomarkers.

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Abstract

UNLABELLED: Differential dependency network (DDN) is a caBIG® (cancer Biomedical Informatics Grid) analytical tool for detecting and visualizing statistically significant topological changes in transcriptional networks representing two biological conditions. Developed under caBIG®'s In Silico Research Centers of Excellence (ISRCE) Program, DDN enables differential network analysis and provides an alternative way for defining network biomarkers predictive of phenotypes. DDN also serves as a useful systems biology tool for users across biomedical research communities to infer how genetic, epigenetic or environment variables may affect biological networks and clinical phenotypes. Besides the standalone Java application, we have also developed a Cytoscape plug-in, CytoDDN, to integrate network analysis and visualization seamlessly. AVAILABILITY: The Java and MATLAB source code can be downloaded at the authors' web site http://www.cbil.ece.vt.edu/software.htm.

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MeSH descriptors

Gene Regulatory Networks Software Animals Computational Biology Epigenesis, Genetic Female Mammary Glands, Animal Mammary Glands, Animal Rats Systems Biology

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europepmc
last seen: 2026-10-18T09:30:06.152893+00:00
pubmed
last seen: 2026-10-08T21:08:38.374512+00:00