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- W2897734415 abstract "Systematic identification of protein complexes is an important application of data mining in bioscience. The existing computation methods of detecting protein complexes are usually based on the topological properties of protein-protein interaction(PPI) network data. However, limited by the inherent single structure of the PPI network, the mining of protein complexes may not be fully resolved. In this paper, we propose an original multi-objective optimization strategy based protein complex detection method, which is used Adaptive Multi-Objective Black Hole algorithm, called AMOBH. In the selection of objective function strategy, we integrate the topological structure of PPI network data with semantic similarity based on GO (Gene Ontology) annotation data. Experiments demonstrate that the method we adopt provide more convinced results and higher computational efficiency compared with the existing prediction measures." @default.
- W2897734415 created "2018-10-26" @default.
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- W2897734415 date "2018-07-01" @default.
- W2897734415 modified "2023-09-26" @default.
- W2897734415 title "Identification of Protein Complex Based on a Novel Multi-Objective Method" @default.
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- W2897734415 doi "https://doi.org/10.23919/chicc.2018.8483134" @default.
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