• DocumentCode
    554162
  • Title

    The improved AMDF gene exon prediction

  • Author

    Xueying Zhang ; Qiang Li ; Xin Guan

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tianjin Univ., Tianjin, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1691
  • Lastpage
    1695
  • Abstract
    In order to improve the predictive accuracy and save the computation time, the improved average magnitude difference function (AMDF) is proposed in the paper. The AMDF was widely used to detect the gene exon as a time domain algorithm. In the paper the improved average magnitude difference function (AMDF) method-the sum of magnitude difference square function (SMDSF), which was proposed in the music signal processing, are firstly utilized in the gene detection. The predictive accuracy of the coding regions has increased 10% and 2% respectively for two different sequences and 5% as the statistical result for the GENESCAN database at a 10% false positive rate. SMDSF not only increases significantly in all kinds of performance index but also shorten the running time.
  • Keywords
    DNA; biology computing; genomics; signal processing; time-domain analysis; AMDF gene exon prediction; GENESCAN database; average magnitude difference function method; gene exon detection; sum of magnitude difference square function; time domain algorithm; Accuracy; Bioinformatics; DNA; Discrete Fourier transforms; Encoding; Feature extraction; Genomics; AMDF; CAMDF; DFT; DNA sequence; SMDSF; period-3 behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022375
  • Filename
    6022375