Refining modules to determine functionally significant clusters in molecular networks.

ABSTRACT:

Background

Module detection algorithms relying on modularity maximization suffer from an inherent resolution limit that hinders detection of small topological modules, especially in molecular networks where most biological processes are believed to form small and compact communities. We propose a novel modular refinement approach that helps finding functionally significant modules of molecular networks.

Results

The module refinement algorithm improves the quality of topological modules in protein-protein interaction networks by finding biologically functionally significant modules. The algorithm is based on the fact that functional modules in biology do not necessarily represent those corresponding to maximum modularity. Larger modules corresponding to maximal modularity are

SUBMITTER: Kaalia R 

PROVIDER: S-EPMC6929267 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature