{"title":"在随机投影空间中寻找基因组序列基序的期望最大化","authors":"Aniruddha Maiti, A. Mukherjee","doi":"10.1109/ICECI.2014.6767364","DOIUrl":null,"url":null,"abstract":"Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Expectation maximization in random projected spaces to find motifs in genomic sequences\",\"authors\":\"Aniruddha Maiti, A. Mukherjee\",\"doi\":\"10.1109/ICECI.2014.6767364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.\",\"PeriodicalId\":315219,\"journal\":{\"name\":\"International Conference on Electronics, Communication and Instrumentation (ICECI)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Electronics, Communication and Instrumentation (ICECI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECI.2014.6767364\",\"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 Electronics, Communication and Instrumentation (ICECI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECI.2014.6767364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Expectation maximization in random projected spaces to find motifs in genomic sequences
Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.