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.
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.
出处
《长沙大学学报》
2013年第2期49-50,共2页
Journal of Changsha University
基金
自治区自然科学基金(批准号:2010211022)资助项目
关键词
基因预测
HMM
功率谱
傅里叶
小波变换
gene prediction
HMM
spectrum algorithm
Fourier
wavelet transform