Protein complex recognizing method based on multi-source data fusion and multi-target optimization
A protein complex and multi-objective optimization technology, applied in the field of bioinformatics, can solve problems affecting the recognition accuracy of protein complexes, high false positives and false negatives of protein interaction data, etc., to improve the search range and calculation efficiency, Improve the recognition speed and recognition accuracy, and improve the effect of accuracy
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[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0049] Please refer to figure 1 and figure 2 , the embodiment of the present invention provides a protein complex identification method based on multi-source data fusion and multi-objective optimization, comprising the following steps:
[0050] S1. The protein interaction network is regarded as a fully connected graph, preprocessed, and the adjacency matrix is obtained;
[0051] Obtain the protein interaction database from the public website, and abstract the protein interaction network as a network connectivity graph G=(V, E) formed by multiple protein nodes and interactions between nodes, where V is the set of protein nodes, and E is the set of edges interacting between protein nodes. Since there are some redundant data of self-interactions and re-...
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