DocumentCode
2497899
Title
An Improved Fourier Method for DNA Sequence Classification
Author
Ma, Baoshan ; Zhu, Yi-Sheng ; Chen, Yuzhen
Author_Institution
Coll. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
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.
Keywords
DNA; Fourier transforms; bioinformatics; genetics; molecular biophysics; proteins; signal classification; DNA sequence classification; bioinformatics; filtering method; gene identification; lengthen-shuffle Fourier algorithm; protein coding region; signal processing; system biology; Bioinformatics; Biomedical signal processing; DNA; Educational institutions; Filters; Genomics; Proteins; RNA; Sequences; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162325
Filename
5162325
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