{"title":"蛋白质-蛋白质相互作用网络的模块化聚类","authors":"Nassim Sohaee, C. Forst","doi":"10.1109/CIBCB.2010.5510590","DOIUrl":null,"url":null,"abstract":"Identifying the modular structures in proteinprotein interaction networks is crucial to the understanding of the organization and function of biological systems. In this paper we introduce the concept of critical module in a network and propose an efficient algorithm to find all critical modules in a given network. Finally we tested the proposed algorithm on Yeast protein interaction data set.","PeriodicalId":340637,"journal":{"name":"2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Modular clustering of protein-protein interaction networks\",\"authors\":\"Nassim Sohaee, C. Forst\",\"doi\":\"10.1109/CIBCB.2010.5510590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Identifying the modular structures in proteinprotein interaction networks is crucial to the understanding of the organization and function of biological systems. In this paper we introduce the concept of critical module in a network and propose an efficient algorithm to find all critical modules in a given network. Finally we tested the proposed algorithm on Yeast protein interaction data set.\",\"PeriodicalId\":340637,\"journal\":{\"name\":\"2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIBCB.2010.5510590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIBCB.2010.5510590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modular clustering of protein-protein interaction networks
Identifying the modular structures in proteinprotein interaction networks is crucial to the understanding of the organization and function of biological systems. In this paper we introduce the concept of critical module in a network and propose an efficient algorithm to find all critical modules in a given network. Finally we tested the proposed algorithm on Yeast protein interaction data set.