基于贝叶斯分类器的结肠癌数据分类

广西师范大学学报（自然科学版） ›› 2011, Vol. 29 ›› Issue (3): 187-191.

基于贝叶斯分类器的结肠癌数据分类

陈尤莺, 郑之, 孔祥增, 张胜元

福建师范大学数学与计算机科学学院,福建福州350007

收稿日期:2011-05-10 出版日期:2011-08-20 发布日期:2018-12-03
通讯作者: 张胜元(1966—),男,福建龙岩人,福建大学教授,博士。E-mail:syzhang@fjnu.edu.cn
基金资助:
国家自然科学基金资助项目(61070062);福建省自然科学基金资助项目(2010J01319);福建省教育厅A类项目(JA10064)

Classification of Colon Cancer Data Based on Bayesian Classifier

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

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

摘要/Abstract

摘要： 基于基因表达谱的肿瘤诊断方法有望成为临床医学上一种快速而有效的诊断方法,但由于基因表达谱数据存在高维数、小样本以及噪音大等特点,使得对其分类存在很大困难,所以很有必要寻找更为可行有效的分类方法。用贝叶斯分类器建立预测分类模型作为基因表达谱数据分类的一种新思路,以结肠癌的基因表达谱作为实验数据,利用MATLAB的贝叶斯网络工具箱进行了实验,并用4-折交叉验证法测试识别准确率。实验结果表明上述方法是可行有效的。

关键词: 基因表达谱, 贝叶斯分类器, 结肠癌数据, 4-折交叉验证

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

中图分类号:

TP391.4

陈尤莺, 郑之, 孔祥增, 张胜元. 基于贝叶斯分类器的结肠癌数据分类[J]. 广西师范大学学报（自然科学版）, 2011, 29(3): 187-191.

CHEN You-ying, ZHENG Zhi, KONG Xiang-zeng, ZHANG Sheng-yuan. Classification of Colon Cancer Data Based on Bayesian Classifier[J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(3): 187-191.

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