DDN: A caBIG® analytical tool for differential network analysis

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

*此作品的通信作者

研究成果: 期刊稿件文章同行評審

33 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
文章編號btr052
頁(從 - 到)1036-1038
頁數3
期刊Bioinformatics
27
發行號7
DOIs
出版狀態已出版 - 04 2011
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