{"title":"DNA Motif Detection Using Particle Swarm Optimization and Expectation-Maximization.","authors":"C T Hardin, Eric C Rouchka","doi":"10.1109/SIS.2005.1501620","DOIUrl":"10.1109/SIS.2005.1501620","url":null,"abstract":"<p><p>Motif discovery, the process of discovering a meaningful pattern of nucleotides or amino acids that is shared by two or more molecules, is an important part of the study of gene function. In this paper, we propose a hybrid motif discovery approach based upon a combination of Particle Swarm Optimization (PSO) and the Expectation-Maximization (EM) algorithm. In the proposed algorithm, we use PSO to generate a seed for the EM algorithm.</p>","PeriodicalId":88961,"journal":{"name":"Proceedings of the ... IEEE Swarm Intelligence Symposium. IEEE Swarm Intelligence Symposium","volume":"2005 ","pages":"181-184"},"PeriodicalIF":0.0,"publicationDate":"2005-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2861583/pdf/nihms137489.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28961046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}