| 含伪结的RNA分子二级结构预测 |
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| 引用本文： | 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. |
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| 作者姓名： | 张洪礼 张娜 刘文远 王常武 |
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| 作者单位： | 燕山大学 信息科学与工程学院，河北 秦皇岛 066004 |
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| 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 |
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| 摘 要： | 预测含伪结的RNA分子二级结构是生物信息学的一个研究难点。利用多分类支持向量机结合贝叶斯神经网络针对含伪结的RNA分子二级结构进行预测。利用多分类支持向量机进行预测，输出端得到相应碱基的平面伪结结构的E-NSSEL（Extend New Secondary Structure Element Label）类别标签。使用碱基已预测的结果通过贝叶斯神经网络进行修正，并恢复RNA分子二级结构。使用该方法能有效地改善含伪结的RNA分子二级结构的预测效果。
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| 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 |
| 修稿时间： | |
RNA secondary structure prediction with pseudoknots |
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| ZHANG Hongli,ZHANG Na,LIU Wenyuan,WANG Changwu.RNA secondary structure prediction with pseudoknots[J].Computer Engineering and Applications,2011,47(8):219-222. |
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| Authors: | ZHANG Hongli ZHANG Na LIU Wenyuan WANG Changwu |
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| Affiliation: | College of Information Science and Engineering，Yanshan University，Qinhuangdao，Hebei 066004，China |
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| 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. |
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| Keywords: | multi-class support vector machine Bayesian Neural Networks（BNN） RNA secondary structure Extend New Secondary Structure Element Label（E-NSSEL） labels plane pseudoknots |
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