{"title":"基因序列标记性分析","authors":"Jurgita Židanavičiūtė, Tomas Rekašius","doi":"10.15388/lmr.2006.30727","DOIUrl":null,"url":null,"abstract":"In this paper DNA sequents are modelled as discrete-state Markov chains. Statistical data is presented in contingency tables form. The generalized logit model is used to test the first-order Markov property for all coding and non-coding subsequences of DNA.","PeriodicalId":33611,"journal":{"name":"Lietuvos Matematikos Rinkinys","volume":"342 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetinių sekų markoviškumo tyrimas\",\"authors\":\"Jurgita Židanavičiūtė, Tomas Rekašius\",\"doi\":\"10.15388/lmr.2006.30727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper DNA sequents are modelled as discrete-state Markov chains. Statistical data is presented in contingency tables form. The generalized logit model is used to test the first-order Markov property for all coding and non-coding subsequences of DNA.\",\"PeriodicalId\":33611,\"journal\":{\"name\":\"Lietuvos Matematikos Rinkinys\",\"volume\":\"342 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lietuvos Matematikos Rinkinys\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15388/lmr.2006.30727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lietuvos Matematikos Rinkinys","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15388/lmr.2006.30727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper DNA sequents are modelled as discrete-state Markov chains. Statistical data is presented in contingency tables form. The generalized logit model is used to test the first-order Markov property for all coding and non-coding subsequences of DNA.
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