贝叶斯判别分析在布氏杆菌常见种别鉴定中的应用
The Application of Bayes Discriminant Analysis in the Identification of Brucella's Species
肖培 1崔步云1
作者信息
- 1. 传染病预防控制国家重点实验室感染性疾病诊治协同创新中心中国疾病预防控制中心传染病预防控制所 102206
- 折叠
摘要
目的 建立布氏杆菌常见种别的Bayes判别模型,为布氏杆菌种别的鉴定提供依据.方法 以多位点可变数目串联重复序列分析方法所选择的基因组上16个具有多态性串联重复序列位点为判别指标,应用逐步判别分析方法筛选关键序列位点并构建布氏杆菌常见种别的Bayes判别模型.结果 待选的16个多态性串联重复序列位点全部进入判别函数,建立的模型自身验证的准确率为98.21％,交互验证的准确率为97.75％.结论 建立的Bayes判别模型判断布氏杆菌的常见种别正确率很高,是布氏杆菌常见种别判断的有效方法.
Abstract
Objective To establish a Bayes discriminant model and provide scientific basis for the identification of the popular species of brucella.Methods Using stepwise method to select the VNTR from multiple locus variable number tandem repeats analysis as the discriminant variables and Bayes method to build discriminant model.Results All of the sixteen VNTR were selected in the model.98.21％ of original grouped cases were correctly classified and 97.75％ of cross-validated grouped cases were correctly classified.Conclusion The established Bayes discriminant model has a high level of accuracy and is an useful method for the judgment of the popular species of Brucella.
关键词
布氏杆菌/Bayes判别模型/多位点可变数目串联重复序列分析Key words
Brucella/Bayes discriminant model/Multiple loci variable number tandem repeat analysis引用本文复制引用
基金项目
出版年
2013
NETL
NSTL
维普
万方数据