Overlapping functional modules detection in PPI network with pair-wise constrained non-negative matrix tri-factorisation.

ABSTRACT: A large amount of available protein-protein interaction (PPI) data has been generated by high-throughput experimental techniques. Uncovering functional modules from PPI networks will help us better understand the underlying mechanisms of cellular functions. Numerous computational algorithms have been designed to identify functional modules automatically in the past decades. However, most community detection methods (non-overlapping or overlapping types) are unsupervised models, which cannot incorporate the well-known protein complexes as a priori. The authors propose a novel semi-supervised model named pairwise constrains nonnegative matrix tri-factorisation (PCNMTF), which takes full advantage of the well-known protein complexes to find overlapping functional modules based on protein modu

SUBMITTER: Liu G 

PROVIDER: S-EPMC8687432 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature