禽流感病毒广东株HA基因BLSOM神经网络分型方法的建立

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；HIN1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。...

Full description

Saved in:
Bibliographic Details
Published in广东农业科学 Vol. 43; no. 2; pp. 156 - 160
Main Author 田纯见 罗琼 高佳卉 林志雄 鱼海琼 刘志玲 陈茹 吴晓薇
Format Journal Article
LanguageChinese
Published 广东出入境检验检疫局检验检疫技术中心/广东省动植物与食品进出口技术措施研究重点实验室/国家质量监督与检验检疫总局国家禽流感检测重点实验室 广东,广东广州,510623 2016
Subjects
BLSOM
HA基因
分型
神经网络
禽流感病毒
禽流感病毒
BLSOM
HA基因
神经网络
分型
Online AccessGet full text

Cover

More Information
Summary: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；HIN1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。
Bibliography:44-1267/S
TIAN Chun-jian, LUO Qiong, GAO Jia-hui, LIN Zhi-xiong, YU Hai-qiong, LIU Zhi-ling, CHEN Ru, WU Xiao-wei （ 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 ）
avian influenza virus; batch-learning self-organizing map; hemagglutinin gene; neural networks; classification
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. HI, H3, H5, H7 and H9 subtype strains were mainly classified as a class, in which the HA gene cl
ISSN:1004-874X