| Biological sciences & biotechnology |
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| 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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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.
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Published: 20 September 2011
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聚类分析在神经元形态特征分类中的应用
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.
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