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- W2045187003 abstract "The identification of protein complexes is an essential step to understand the principles of cellular organization and biochemical phenomena. A large dataset of experimentally detected protein-protein interactions (PPI) has been determined using high-throughput experimental techniques. However, these datasets usually contain spurious interactions, which complicate the accurate identification of protein complexes by using computational methods. In this study, a novel method is developed to predict protein complexes based on PPI network topology and gene ontology. A protein functional similarity is performed to estimate the reliability of this interaction. A minimum cut-based method is used to detect protein complexes in the weight network. Experimental results show that our method performs better than several efficient, existing clustering algorithms." @default.
- W2045187003 created "2016-06-24" @default.
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- W2045187003 date "2014-01-01" @default.
- W2045187003 modified "2023-09-23" @default.
- W2045187003 title "A Novel Protein Complex Identification Algorithm Based on the Integration of Local Network Topology and Gene Ontology" @default.
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- W2045187003 doi "https://doi.org/10.2991/csss-14.2014.164" @default.
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