Constructing module maps for integrated analysis of heterogeneous biological networks.

ABSTRACT: Improved methods for integrated analysis of heterogeneous large-scale omic data are direly needed. Here, we take a network-based approach to this challenge. Given two networks, representing different types of gene interactions, we construct a map of linked modules, where modules are genes strongly connected in the first network and links represent strong inter-module connections in the second. We develop novel algorithms that considerably outperform prior art on simulated and real data from three distinct domains. First, by analyzing protein-protein interactions and negative genetic interactions in yeast, we discover epistatic relations among protein complexes. Second, we analyze protein-protein interactions and DNA damage-specific positive genetic interactions in yeast and reveal function

SUBMITTER: Amar D 

PROVIDER: S-EPMC3985673 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature