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Literature DB >> 21296752

DDN: a caBIG® analytical tool for differential network analysis.

Bai Zhang¹, Ye Tian, Lu Jin, Huai Li, Ie-Ming Shih, Subha Madhavan, Robert Clarke, Eric P Hoffman, Jianhua Xuan, Leena Hilakivi-Clarke, Yue Wang.

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.

Entities: Disease

Mesh：

Year: 2011 PMID： 21296752 PMCID： PMC3065688 DOI： 10.1093/bioinformatics/btr052

Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937

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