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
Link To Document :
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