Translation initiation sites prediction with mixture gaussian models

Translation initiation sites prediction with mixture gaussian models

Translation initiation sites (TIS) are important signals in cDNA sequences. Many research efforts have tried to predict TIS in cDNA sequences. In this paper, we propose using mixture Gaussian models to predict TIS in cDNA sequences. Some new global measures are used to generate numerical features fr...

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書目詳細資料
Main Authors:	Li, Guoliang, Tze-Yun LEONG, Zhang, Louxin
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2004
主題:	Artificial intelligence Bioinformatics Forecasting Mixtures Numerical methods Translation (languages) cDNA sequence Global feature Global measures Mixture Gaussian model Numerical features Open reading frame Research efforts Translation initiation site Numerical Analysis and Scientific Computing
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/3050
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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