• DocumentCode
    2470320
  • Title

    Prediction of interspecies transmission for avian influenza a virus based on BP neural network

  • Author

    Qiang, Xiaoli ; Kou, Zheng

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
  • fYear
    2009
  • fDate
    16-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The prediction of the transmissibility of avian influenza A viruses from birds to humans is very important for the public health. Recently, two categories of molecular patterns, which were associated with the phenotype of interspecies transmission, were found to exist among avian influenza A viruses with different subtypes. In the paper, we used the similar method based on wavelet packet decomposition to transform the viral sequences and used the energy features of viral genome as input to train BP neural network. The good results of experimentation were got to discriminate the two categories of molecular patterns. A novel method was constructed to predict the transmissibility of avian influenza A viruses.
  • Keywords
    backpropagation; diseases; genetics; medical computing; microorganisms; molecular biophysics; neural nets; wavelet transforms; BP neural network; avian influenza A virus; interspecies transmission prediction; molecular pattern; viral genome; viral sequence; wavelet packet decomposition; Bioinformatics; Birds; Genomics; Humans; Influenza; Neural networks; Public healthcare; Viruses (medical); Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3866-2
  • Electronic_ISBN
    978-1-4244-3867-9
  • Type

    conf

  • DOI
    10.1109/BICTA.2009.5338135
  • Filename
    5338135