基于HMM的CpG岛位置判别  

Discrimination of CpG Islands Location Based on HMM

作　　者：蒋红敬[1] 张振力[2] 

机构地区：[1]中南大学数学科学与计算技术学院,长沙410075 [2]西北农林科技大学理学院,西安712100

出　　处：《数学理论与应用》2009年第2期113-116,共4页Mathematical Theory and Applications

摘　　要：隐马尔科夫过程是20世纪70年代提出来的一种统计方法,以前主要用于语音识别,1989年Churchill将其引入计算生物学,目前HMM是生物信息学中应用比较广泛的统计方法。本文对马尔科夫过程和HMM进行了简明扼要的描述,并对其在CpG岛位置判别中的应用做了概括介绍。The Hidden Markov Model （HMM） is a statistical method, which was introduced in 1970. Previously it was used mainly for speech recognition.In 1989 Churchill put it to computational biology. Currently HMM has a broader application in Bioinformafics. In this paper, We make a concise description about Markov and the HMM, and introduce its application in discrimmination of CpG islands.

关 键 词：马尔科夫链 HMM CPG岛 

分 类 号：Q75[生物学—分子生物学]