Use of linear regression model to compare RNA secondary structures

作     者：Dai, Qi Wang, Tianming 

作者机构：Dalian Univ Technol Dept Appl Math Dalian 116024 Peoples R China 

出 版 物：《JOURNAL OF THEORETICAL BIOLOGY》 (理论生物学杂志)

年 卷 期：2008年第253卷第4期

页      面：854-860页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 09[农学] 

基　　金：National Natural Science Foundation of China 

主　　题：encoding algorithm bases' distribution function similarity distance comparison 

摘      要：With more and more ribonucleic acid (RNA) secondary structures accumulated, the need for comparing different RNA secondary structures often arises in function prediction and evolutionary analysis. Numerous efficient algorithms were developed for comparing different RNA secondary structures, but challenges remain. In this paper, six new models based on the linear regression model were proposed for the comparison of RNA secondary structures. The proposed models were tested on a mixed data, containing six secondary structures from RNase P RNAs, three secondary structures from SSU rRNA and five secondary structures from 16S ribosomal RNAs. The results have shown the effectiveness of the proposed models. Moreover, the time complexity of our models is favorable by comparing with that of the existing methods which solve the similar problem. Crown Copyright (C) 2008 Published by Elsevier Ltd. All rights reserved.