@article{ddn, author = {Zhang, Bai and Tian, Ye and Jin, Lu and
Li, Huai and Shih, Ie-Ming and Madhavan, Subha and Clarke,
Robert and Hoffman, Eric P. and Xuan, Jianhua and Hilakivi-
Clarke, Leena and Wang, Yue}, title = {DDN: a caBIG® analytical
tool for differential network analysis}, volume = {27}, number =
{7}, pages = {1036-1038}, year = {2011}, doi =
{10.1093/bioinformatics/btr052}, abstract ={Summary:
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 vari