An Improved Fourier Method for DNA Sequence Classification

摘要：

The theory and methods of signal processing are becoming increasingly important in bioinformatics and systems biology. The ordinary Fourier analysis is satisfactory for the long DNA sequences to detect period-3 property, but is without impressive success for the short DNA sequences. An improved Fourier method is proposed to increase the accuracy of gene identification by amplifying period-3 behavior in protein coding regions. The experimental results indicate that the improved Fourier approach is better than the ordinary Fourier method and the lengthen-shuffle Fourier algorithm. For the different length window, the accuracy (average of the sensitivity and the specificity) of the improved method is about 3％ higher than that of the lengthen-shuffle Fourier method and 9％ higher than that of the ordinary Fourier method.

关键词： Fourier transform filter DNA classification

作者: Baoshan Ma Yi-Sheng Zhu Yuzhen Chen

作者单位: College of Information Science and Technology Dalian Maritime University Dalian,Liaoning,China College of electromechanics and materials engineering Dalian Maritime University Dalian,Liaoning,Chi

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）