Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network.

ABSTRACT:

Background

Protein-protein interaction networks and phenotype similarity information have been synthesized together to discover novel disease-causing genes. Genetic or phenotypic similarities are manifested as certain modularity properties in a phenotype-gene heterogeneous network consisting of the phenotype-phenotype similarity network, protein-protein interaction network and gene-disease association network. However, the quantitative analysis of modularity in the heterogeneous network and its influence on disease-gene discovery are still unaddressed. Furthermore, the genetic correspondence of the disease subtypes can be identified by marking the genes and phenotypes in the phenotype-gene network. We present a novel network inference method to measure the network modularity, and i

SUBMITTER: Yao X 

PROVIDER: S-EPMC3130676 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature