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
Link To Document :
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