Identifying consistent disease subnetworks using DNet.

@article{Peng2017IdentifyingCD,
  title={Identifying consistent disease subnetworks using DNet.},
  author={Jiajie Peng and Junya Lu and Xuequn Shang and Jin Chen},
  journal={Methods},
  year={2017},
  volume={131},
  pages={
          104-110
        }
}
It is critical to identify disease-specific subnetworks from the vastly available genome-wide gene expression data for elucidating how genes perform high-level biological functions together. Various algorithms have been developed for disease gene identification. However, the topological structure of the disease networks (or even the fraction of the networks) has been left largely unexplored. In this article, we present DNet, a method for the identification of significant disease subnetworks by… CONTINUE READING