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基于HMM的算法和功率谱算法的基因预测对比研究
引用本文:张力丹,梁晓佳,李丹,曹兴芹.基于HMM的算法和功率谱算法的基因预测对比研究[J].长沙大学学报,2013,27(2):49-50.
作者姓名:张力丹  梁晓佳  李丹  曹兴芹
作者单位:1. 新疆师范大学数学科学学院,新疆乌鲁木齐,830054
2. 新疆师范大学计算机科学学院,新疆乌鲁木齐,830054
摘    要:基于隐马尔科夫模型的算法和基于傅里叶变换的功率谱算法是常用的基因预测方法且准确度较高.对这两种算法加以论述,并做实验比较.结果表明,基于功率谱的算法在灵敏度和特异性方面都略高于其他基于隐马尔科夫模型的算法.

关 键 词:基因预测  HMM  功率谱  傅里叶  小波变换

Comparison of Performances of Hidden Markov Model and Spectrum Algorithm in Gene Prediction
ZHANG Lidan , LIANG Xiaojia , LI Dan , CAO Xingqin.Comparison of Performances of Hidden Markov Model and Spectrum Algorithm in Gene Prediction[J].Journal of Changsha University,2013,27(2):49-50.
Authors:ZHANG Lidan  LIANG Xiaojia  LI Dan  CAO Xingqin
Institution:(Xinjiang Normal University,Urumchi Xinjiang 830054,China)
Abstract:Hidden Markova Model (HMM) method and spectrum algorithm based on Fourier transform are two common gene prediction methods with relatively high accuracy. The paper elaborates these two methods and makes a comparison of their performances. Experiments show that spectrum algorithm is better than HMM method in terms of sensitivity and specificity.
Keywords:gene prediction  HMM  spectrum algorithm  Fourier  wavelet transform
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