Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (3): 187-191.

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Classification of Colon Cancer Data Based on Bayesian Classifier

CHEN You-ying, ZHENG Zhi, KONG Xiang-zeng, ZHANG Sheng-yuan   

  1. College of Mathematics and Computer Science,Fujian Normal University,Fuzhou Fujian 350007,China
  • Received:2011-05-10 Online:2011-08-20 Published:2018-12-03

Abstract: Cancer diagnosis based on gene expression is expected to become a fast andeffective method for clinical diagnosis.Because of the high dimension,small samples and noise characteristics of gene expression data,it is very difficult to make relevent classification.Therefore it is necessary to finda more feasible and effective classification method.This paper uses Bayesian classifier to establish a forecasting model,for the gene expression data classification.Experiments are carried outwith the Bayesian network toolbox by using the colon cancer gene expression profiles as test data.Identification accuracy is also verified through 4-fold cross-validation method.Experimental results show that the method is feasible and effective.

Key words: gene expression, Bayesian classifier, colon cancer data, 4-fold cross validation

CLC Number: 

  • TP391.4
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