中国神经再生研究(英文版)

中国神经再生研究(英文版) ›› 2012, Vol. 7 ›› Issue (1): 36-40.

• 原著:神经损伤修复保护与再生 • 上一篇    下一篇

Morphology cluster and prediction of growth of human brain pyramidal neurons

  

  • 收稿日期:2011-09-25 修回日期:2011-11-12 出版日期:2012-01-05 发布日期:2012-01-05

Morphology cluster and prediction of growth of human brain pyramidal neurons

Chao Yu1, Zengxin Han1, Wencong Zeng1, Shenquan Liu2   

  1. 1 School of Computer, China University of Geosciences, Wuhan 430074, Hubei Province, China
    2 School of Science, South China University of Technology, Guangzhou 510640, Guangdong Province, China
  • Received:2011-09-25 Revised:2011-11-12 Online:2012-01-05 Published:2012-01-05
  • Contact: Chao Yu, School of Computer, China University of Geos-ciences, Wuhan 430074, Hubei Province, China chaoyu7@gmail.com
  • About author:Chao Yu★, Master, School of Computer, China University of Geosciences, Wuhan 430074, Hubei Province, China

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Abstract:

Predicting neuron growth is valuable to understand the morphology of neurons, thus it is helpful in the research of neuron classification. This study sought to propose a new method of predicting the growth of human neurons using 1 907 sets of data in human brain pyramidal neurons obtained from the website of NeuroMorpho.Org. First, we analyzed neurons in a morphology field and used an expectation-maximization algorithm to specify the neurons into six clusters. Second, naive Bayes classifier was used to verify the accuracy of the expectation-maximization algorithm. Experiment results proved that the cluster groups here were efficient and feasible. Finally, a new method to rank the six expectation-maximization algorithm clustered classes was used in predicting the growth of human pyramidal neurons.

Key words: neurons, morphological cluster, expectation-maximization, naive Bayes, 10-fold cross validation, neural regeneration