计算机工程与应用2011，Vol.47Issue(8)：219-222,4.DOI:10.3778/j.issn.1002-8331.2011.08.064
含伪结的RNA分子二级结构预测
RNA secondary structure prediction with pseudoknots.
摘要
Abstract
RNA secondary structure prediction with pseudoknots is one of the most difficult research areas in bioinformatics.This paper introduces a new representation of the RNA secondary structure with plane pseudoknots by multi-class Support Vector Machine(multi-class SVM) and Bayesian Neural Networks (BNN).A multi-class SVM model is presented to predict RNA secondary structure based on E-NSSEL labels that can express plane pseudoknots effectively. BNN is used to correct the results by considering the neighbor residues predicted labels. The RNA secondary structure is resumed according to the predicted results.Experiment proves that this method can improve the RNA secondary structure prediction results with plane pseudoknots.关键词
多分类支持向量机/贝叶斯神经网络/RNA二级结构/E-NSSEL标签/平面伪结Key words
multi-class support vector machine/Bayesian Neural Networks(BNN)/RNA secondary structure/ Extend New Secondary Structure Element Label(E-NSSEL) labels/plane pseudoknots分类
信息技术与安全科学引用本文复制引用
张洪礼,张娜,刘文远,王常武..含伪结的RNA分子二级结构预测[J].计算机工程与应用,2011,47(8):219-222,4.基金项目
基于SAAS的信息化共性技术服务平台国家火炬计划(Information Generic Technology Service Platform of National Torch Planbased on SAAS under Grant No.2008GH540088). （Information Generic Technology Service Platform of National Torch Planbased on SAAS under Grant No.2008GH540088）
