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浙江大学学报（农业与生命科学版）
浙江大学学报(农业与生命科学版)  2011, Vol. 37 Issue (5): 493-500    DOI: 10.3785/j.issn.1008-9209.2011.05.004
生物科学与技术     
聚类分析在神经元形态特征分类中的应用
张静１, 邓仕槐１, 郭航２, 沈飞 , 古维刚３, 李元伟１
１ .四川农业大学资源环境学院,四川雅安６２５０１４;２ .四川农业大学经济管理学院,四川雅安６２５０１４;
３ .四川农业大学动物科技学院动物遗传研究所,四川雅安６２５０１４.
Application of cluster analysis in morphological characteristics of neurons
ZHANG Jing１ ,DENG Shi‐huai１ , GUO Hang２ , SHEN Fei１ , GU Wei‐gang３ , LI Yuan‐wei１
1 . College of Resource & Environment , Sichuan A gricultural University , Y a′anSichuan 625014 , China ;2 . College o f Economics M anagement , Sichuan A gricultural University , Y a′anSichuan 625014 ,China ; 3 . A nimal Genetic Research Institute , College o f A nimal Science and Technology , SichuanA gricultural University ,Y a′an , Sichuan 625014 , China.
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摘要： 以４９个神经元的三维坐标为基础数据,选取并计算出１６个神经元的形态参数,然后对１６个参数进行因子分析,选取出表征神经元大小、发散程度以及生长发育特征的３个特征因子,采用ward 法对样本主因子进行系统聚类分析,从而对样本进行形态分类.结果表明:欧式距离为１.５左右时,研究样本可以分为运动神经元、双极中间神经元与锥体神经元、多级中间与三级中间神经元、感觉神经元以及普肯野神经元５类;神经元所处的发育程度对三级、多级与感觉神经元形态学分类有一定的干扰,因此,在形态学分类过程中,应使用发育成熟的神经元,避免造成干扰.
Abstract: Base on the data for three dimensional ( ３D) coordinate of ４９neurons , １６morphological parameters were obtained by calculation . According to the factor analysis of the morphological parameters , three major characteristics , including dimension , degree of divergence and growths were obtained and chosen for classification . ward?s method was applied in the system cluster analysis . The results showed that the neurons could be classified into ５grades , including motoneuron , bipolar
interneuron , cone neuron , multipolar interneuron and tripolar interneuron , when the Euclidean distance was about １.５ ; additionally , the development degree of neurons affected the classification results of sensory neuron , tripolar interneuron and multipolar interneuron morphology , therefore ,in the process of
classification in morphology , it should be used mature neurons to avoid to cause interference.
出版日期: 2011-09-20
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张静
邓仕槐
郭航
沈飞
古维刚
李元伟

引用本文:

张静, 邓仕槐, 郭航, 沈飞, 古维刚, 李元伟. 聚类分析在神经元形态特征分类中的应用[J]. 浙江大学学报(农业与生命科学版), 2011, 37(5): 493-500.

ZHANG Jing,DENG Shi‐huai, GUO Hang, SHEN Fei, GU Wei‐gang, LI Yuan‐wei. Application of cluster analysis in morphological characteristics of neurons. Journal of Zhejiang University: Agric. & Life Sci., 2011, 37(5): 493-500.

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http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2011.05.004    或    http://www.zjujournals.com/agr/CN/Y2011/V37/I5/493

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