{"title":"利用PATSUB+寻找基因相干模式","authors":"H. A. Ahmed, P. Mahanta, D. Bhattacharyya","doi":"10.1145/2345396.2345404","DOIUrl":null,"url":null,"abstract":"This paper presents a pattern aided subspace clustering algorithm (PATSUB+) to find biologically relevant coexpressed patterns in gene expression data. The algorithm works iteratively over a relative expression domain using NMRS (Normalized Mean Residue Similarity) measure, it discovers a set of possibly overlapping subspace clusters for any gene expression matrix. PATSUB+ performs satisfactorily while tested on several real life gene expression datasets and compared with several competing algorithms.","PeriodicalId":290400,"journal":{"name":"International Conference on Advances in Computing, Communications and Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finding gene coherent patterns using PATSUB+\",\"authors\":\"H. A. Ahmed, P. Mahanta, D. Bhattacharyya\",\"doi\":\"10.1145/2345396.2345404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a pattern aided subspace clustering algorithm (PATSUB+) to find biologically relevant coexpressed patterns in gene expression data. The algorithm works iteratively over a relative expression domain using NMRS (Normalized Mean Residue Similarity) measure, it discovers a set of possibly overlapping subspace clusters for any gene expression matrix. PATSUB+ performs satisfactorily while tested on several real life gene expression datasets and compared with several competing algorithms.\",\"PeriodicalId\":290400,\"journal\":{\"name\":\"International Conference on Advances in Computing, Communications and Informatics\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Advances in Computing, Communications and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2345396.2345404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Advances in Computing, Communications and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2345396.2345404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a pattern aided subspace clustering algorithm (PATSUB+) to find biologically relevant coexpressed patterns in gene expression data. The algorithm works iteratively over a relative expression domain using NMRS (Normalized Mean Residue Similarity) measure, it discovers a set of possibly overlapping subspace clusters for any gene expression matrix. PATSUB+ performs satisfactorily while tested on several real life gene expression datasets and compared with several competing algorithms.