DDN: a caBIG® analytical tool for differential network analysis

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.

[1]  Michael E Phelps,et al.  Systems Biology and New Technologies Enable Predictive and Preventative Medicine , 2004, Science.

[2]  S. Horvath,et al.  Weighted gene coexpression network analysis strategies applied to mouse weight , 2007, Mammalian Genome.

[3]  Sangsoo Kim,et al.  Gene expression Differential coexpression analysis using microarray data and its application to human cancer , 2005 .

[4]  Yue Wang,et al.  Differential Dependency Network Analysis to Identify Topological Changes in Biological Networks , 2010 .

[5]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .

[6]  Rainer Spang,et al.  Finding disease specific alterations in the co-expression of genes , 2004, ISMB/ECCB.

[7]  Tian-Li Wang,et al.  Frequent Mutations of Chromatin Remodeling Gene ARID1A in Ovarian Clear Cell Carcinoma , 2010, Science.

[8]  Richard A. Moore,et al.  ARID1A mutations in endometriosis-associated ovarian carcinomas. , 2010, The New England journal of medicine.

[9]  K. J. Ray Liu,et al.  Dependence network modeling for biomarker identification , 2007, Bioinform..

[10]  P. Shannon,et al.  Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[11]  Trey Ideker,et al.  Integrating physical and genetic maps: from genomes to interaction networks , 2007, Nature Reviews Genetics.

[12]  E. Gehan,et al.  The properties of high-dimensional data spaces: implications for exploring gene and protein expression data , 2008, Nature Reviews Cancer.

[13]  Robert Clarke,et al.  Differential dependency network analysis to identify condition-specific topological changes in biological networks , 2009, Bioinform..

[14]  Michael Watson,et al.  CoXpress: differential co-expression in gene expression data , 2006, BMC Bioinformatics.