CUFID-query: accurate network querying through random walk based network flow estimation.

ABSTRACT: BACKGROUND:Functional modules in biological networks consist of numerous biomolecules and their complicated interactions. Recent studies have shown that biomolecules in a functional module tend to have similar interaction patterns and that such modules are often conserved across biological networks of different species. As a result, such conserved functional modules can be identified through comparative analysis of biological networks. RESULTS:In this work, we propose a novel network querying algorithm based on the CUFID (Comparative network analysis Using the steady-state network Flow to IDentify orthologous proteins) framework combined with an efficient seed-and-extension approach. The proposed algorithm, CUFID-query, can accurately detect conserved functional modules as small subnetwork

SUBMITTER: Jeong H 

PROVIDER: S-EPMC5751815 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature