| 田纯见，罗 琼，高佳卉，林志雄，鱼海琼，刘志玲，陈 茹，吴晓薇.禽流感病毒广东株HA 基因BLSOM神经网络分型方法的建立[J].广东农业科学,2016,43(2):156-160 |
|
查看全文
HTML
禽流感病毒广东株HA 基因BLSOM神经网络分型方法的建立 |
| Development of neural networks for batch-learning selforganizing map（BLSOM）clustering of hemagglutinin genes of avian influenza viruses isolated from Guangdong province |
| |
| DOI： |
| 中文关键词: 禽流感病毒 BLSOM HA 基因 神经网络 分型 |
| 英文关键词: avian influenza virus batch-learning self-organizing map hemagglutinin gene neural networks classification |
| 基金项目: |
|
| 摘要点击次数: 1851 |
| 全文下载次数: 878 |
| 中文摘要: |
| 利用25 个禽流感病毒及相关流感病毒广东株HA 基因序列，建立三、四核苷酸特征基因片段BLSOM 神经网络分型方法，对各片段数量进行统计和归一化处理。设计程序由MATLAB 函数模拟人脑思维自组织学习，当训练步数为100 及以上各毒株能成功聚类。H1、H3、H5、H7 和H9 亚型主要毒株分别归为一类，其中H3N2 和H7N9 毒株HA 基因聚类图谱高度相似，表明这些毒株起源相同；不同年代H5N1 毒株差异较大；H1N1 和H9N2 各1 个毒株聚为一类，表明这两种病毒自然重组变异，为高危毒株筛查和溯源提供参考。 |
| 英文摘要: |
| A neural network classification method，a batch-learning self-organizing map（BLSOM），was established using 25 tri- and tetranucleotide in the hemagglutinin gene sequences of 25 avian influenza viruses isolated from Guangdong province. Statistics and normalization of the fragment numbers were done and MATLAB function was used to simulate the human brain thinking for self-organizing learning. When the training step was 100 and above，the strains could be successfully clustered. H1，H3, H5, H7 and H9 subtype strains were mainly classified as a class, in which the HA gene cluster profiles of H3N2 and H7N9 strains had highly similar，suggesting that these isolates origin ated from the same era；different generations of H5N1，H1N1 and H9N2 strains were quite different; each one strain of two types was clustered into one group，suggesting that the two virus had recombinant variants, to provide reference for screening high-risk strains and traceability. |
|
查看/发表评论 下载PDF阅读器 |
