Identification of Eukaryotic Exons using Empirical Mode Decomposition and Modified Gabor-Wavelet Transform

摘要：

　　Identifying exons in eukaryotes is an important topic in computational biology.In this paper,according to the three-base periodicity of eukaryotic exons,a model-independent method based on the empirical mode decomposition and the modified Gabor-wavelet transform has been developed for identifying exons in DNA sequences of eukaryotes.This novel technique is aimed particularly at detecting the significant components of short exons that are rarely observed with the traditional methods,and presents the advantage of noise suppression in the identification of exons.By using this method,the numerical DNA sequence represented by DNA-bending stiffness scheme is firstly decomposed by empirical mode decomposition into a collection of intrinsic mode functions.Then the first intrinsic mode function is used to compute the local spectrum by modified Gabor-wavelet transform.The performance of the proposed method is compared with two existing model-independent methods by using eukaryote data sets.Experimental results show that the proposed method outperforms the two assessed methods with respect to identification accuracy.

关键词： Exons Three-Base Periodicity Empirical Mode Decomposition Modified Gabor-Wavelet Transform

作者: ZHANG Xiaolei ZHAO Jiaxiang XU Wei

作者单位: College of Computer and Control Engineering,Nankai University,Tianjin 300071,P.R.China College of Electronic Information and Optical Engineering,Nankai University,Tianjin 300071,P.R.China Institute of Electronics and Information Engineering,Tianjin Polytechnic University,Tianjin 300387,P

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7151-7155

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）