期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：3373-3375
出版社：TechScience Publications
摘要：Protein secondary structure prediction is an important problem in bioinformatics and has many applications. In this research we investigate the Bayesian approach for secondary structure prediction of protein. Accuracy improvement in protein secondary structure prediction is focus of our study. We used Three-state-per residue accuracy (Q3) measure for comparative study between Bayesian method and different approaches like Hidden semi Markov Model (HSMM), Dynamic Bayesian Network (DBN), Hybrid model of Support Vector Machine (SVM) and Bayesian Segmentation Model
