• 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