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Logistic回归和T检验在基因特征提取中的应用
引用本文:赵肖肖,朱宁,黄云腾. Logistic回归和T检验在基因特征提取中的应用[J]. 桂林电子科技大学学报, 2012, 32(1): 69-71,81
作者姓名:赵肖肖  朱宁  黄云腾
作者单位:桂林电子科技大学数学与计算科学学院,广西桂林,541004
基金项目:广西信息与通讯技术重点实验室主任基金(PF090109)
摘    要:针对基因表达谱数据特有的维数高、样本小、非线性的特点,对基因特征提取和分类进行研究,提出将Logistic回归和T检验方法引入基因的特征提取过程,通过Logistic回归初步筛选基因,T-test检验二次筛选特征基因,针对提取的特征构建分类器,得到提取的特征最少、分类效果最好的判别模型.建立分类模型的方法取得良好的癌症分类效果,具有很好的生物解释意义,为寻找致病基因提供了重要依据.

关 键 词:Logistic回归  T检验  判别分析  特征提取

The application of logistic regression and T test in gene feature extraction
Zhao Xiaoxiao , Zhu Ning , Huang Yunteng. The application of logistic regression and T test in gene feature extraction[J]. Journal of Guilin University of Electronic Technology, 2012, 32(1): 69-71,81
Authors:Zhao Xiaoxiao    Zhu Ning    Huang Yunteng
Affiliation:(School of Mathematics and Computational Science,Guilin University of Electronic Technoligy,Guilin 541004,China)
Abstract:Based on the research of gene feature extraction andits classification,this paper introduces the Logistic regression and T test method into gene feature extraction process.Specifically,through the Logistic regression preliminary selecting in gene,T-test inspection secondary screening genetic characteristics,and finally building classifier according to the extracted characteristics,this paper comes to a conclusion with the best discriminatory analysis under which the extracted characteristics is least,but classification effect is the best.
Keywords:Logistic regression  T-test  discriminant analysis  feature extraction
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