Development of Neural Network for BLSOM Clustering of HA Genes of Avian Influenza Viruses Isolated in Guangdong Province

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外文摘要：A neural network classification method,and a batch-learning self-organizing map ( BLSOM) ,was established using trinucleotide and tetranucleotide in the hemagglutinin gene sequences of 25 avian influenza viruses isolated in Guangdong Province. Statistical analysis and normalization of the fragment number were done and MATLAB function was used to simulate the human brain thinking for self-organizing learning. When the number of training steps was 100 and above,the strains could be successfully clustered. H1,H3,H5,H7 and H9 subtype strains fell within different classes,respectively,and the HA gene cluster map of H3N2 and H7N9 strains was quite similar,suggesting that these strains shared the same origin; H5N1 strain was quite different in different years; H1N1 and H9N2 strains could be clustered into one group,indicating the natural recombinant variation in the two kinds of viruses,thereby providing a reference for high-risk strain screening and traceability.

外文关键词：

Avian influenza virusBLSOMHA geneNeural networkClassification

作者：

Chunjian TIAN、Qiong LUO、Jiahui GAO、Zhixiong LIN、Haiqiong YU、Zhiling LIU、Ru CHEN、Xiaowei WU

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作者单位：

Guangdong Inspection and Quarantine Technology Center /Guangdong Provincial Key Laboratory of Animal and Plant and Food Import and Export Technology /AQSIQ State Key Laboratory of Avian Influenza,Guangzhou 510623,China

基金：

Supported by National Entry-Exit Inspection and Quarantine Research ProjectSpecial Project of Ministry of Science and Technology for Development of Major Scientific Instruments and Equipments

项目编号：

2015IK0542012YQ0901- 9705

出版年：

2016

ISSN：

年,卷(期)：2016.8(11)

参考文献量10