Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization.

ABSTRACT: Detecting protein complexes from protein-protein interaction (PPI) networks is a challenging task in computational biology. A vast number of computational methods have been proposed to undertake this task. However, each computational method is developed to capture one aspect of the network. The performance of different methods on the same network can differ substantially, even the same method may have different performance on networks with different topological characteristic. The clustering result of each computational method can be regarded as a feature that describes the PPI network from one aspect. It is therefore desirable to utilize these features to produce a more accurate and reliable clustering. In this paper, a novel Bayesian Nonnegative Matrix Factorization (NMF)-based weighted

SUBMITTER: Ou-Yang L 

PROVIDER: S-EPMC3642239 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature