Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks.

ABSTRACT:

Background

Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells. Biological networks are context-specific and dynamic in nature. To systematically characterize the selectively activated regulatory components and mechanisms, modeling tools must be able to effectively distinguish significant rewiring from random background fluctuations. While differential networks cannot be constructed by existing knowledge alone, novel incorporation of prior knowledge into data-driven approaches can improve the robustness and biological relevance of network inference. However, the major unresolved roadblocks include: big solution space but a small sample size; highly complex

SUBMITTER: Tian Y 

PROVIDER: S-EPMC4131167 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature