{"title":"用矢量量化和隐马尔可夫模型进行无对齐序列比较","authors":"T. Pham","doi":"10.1109/CSB.2003.1227399","DOIUrl":null,"url":null,"abstract":"We introduce the concept of multiresolutions using vector quantization and hidden Markov models as a basis for alignment-free comparison of sequences. Different similarity measures can be discovered at different resolutions of the two sequences. The proposed approach provides a new aspect for studying the complexity of biological data and is effective for real-time processing.","PeriodicalId":147883,"journal":{"name":"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Alignment-free sequence comparison with vector quantization and hidden Markov models\",\"authors\":\"T. Pham\",\"doi\":\"10.1109/CSB.2003.1227399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce the concept of multiresolutions using vector quantization and hidden Markov models as a basis for alignment-free comparison of sequences. Different similarity measures can be discovered at different resolutions of the two sequences. The proposed approach provides a new aspect for studying the complexity of biological data and is effective for real-time processing.\",\"PeriodicalId\":147883,\"journal\":{\"name\":\"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003\",\"volume\":\"142 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSB.2003.1227399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSB.2003.1227399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Alignment-free sequence comparison with vector quantization and hidden Markov models
We introduce the concept of multiresolutions using vector quantization and hidden Markov models as a basis for alignment-free comparison of sequences. Different similarity measures can be discovered at different resolutions of the two sequences. The proposed approach provides a new aspect for studying the complexity of biological data and is effective for real-time processing.