A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.

ABSTRACT:

Background

The accurate identification of protein complexes is important for the understanding of cellular organization. Up to now, computational methods for protein complex detection are mostly focus on mining clusters from protein-protein interaction (PPI) networks. However, PPI data collected by high-throughput experimental techniques are known to be quite noisy. It is hard to achieve reliable prediction results by simply applying computational methods on PPI data. Behind protein interactions, there are protein domains that interact with each other. Therefore, based on domain-protein associations, the joint analysis of PPIs and domain-domain interactions (DDI) has the potential to obtain better performance in protein complex detection. As traditional computational methods are de

SUBMITTER: Ou-Yang L 

PROVIDER: S-EPMC5773919 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature