Semantic integration to identify overlapping functional modules in protein interaction networks.

ABSTRACT:

Background

The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be identified from the protein interaction networks derived from experimental data sets. However, these analyses are challenging because of the presence of unreliable interactions and the complex connectivity of the network. The integration of protein-protein interactions with the data from other sources can be leveraged for improving the effectiveness of functional module detection algorithms.

Results

We have developed novel metrics, called semantic similarity and semantic interactivity, which use Gene Ontology (GO) annotations to measure the reliability of protein-protein interactions. The protein int

SUBMITTER: Cho YR 

PROVIDER: S-EPMC1971074 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature