基于基因表达谱胃癌特征基因选取研究  

The Research about Informative Genes Selection for Stomach Cancer Based on Gene Expression Profiles

作　　者：黄成玉[1,2] 阮晓钢[1] 李建更[1] 

机构地区：[1]北京工业大学电子信息与控制工程学院,北京100022 [2]华北科技学院电子信息工程系,北京东燕郊101601

出　　处：《微计算机信息》2009年第4期285-286,297,共3页Control & Automation

基　　金：基金申请人:阮晓钢;项目名称:基于细胞自动机的复杂系统自组织建模与控制;基金颁发部门:教育部科学技术研究重点项目(203002)

摘　　要：基于基因表达谱运用信息科学的方法和技术建立胃癌的分类模型,关键在于准确找出决定样本类别的一组特征基因。针对该问题在分析胃癌的基因表达谱基础上研究了胃癌特征基因选取问题。本文提出了一种新的特征基因选取方法——CLUSTER_S2N法,并用支持向量机作为分类器,以分类错误率为标准进行了胃癌的分类预测实验,实验结果表明了该方法的可行性和有效性。This paper establish the classified model of stomach cancer with the information science method and technology based on the gene expression profiles, the key question is to find out a set of informative genes which can determine the sample sort. So the author study about how to choose the informative genes of stomach cancer based on its gene expression profiles. The paper bring forWard a new way so called CLUSTER_S2N to select informative genes, and a support vector machine is employed to classify the samples, the class forecast experiment is achieved with the criterion of classify error ratio. The result proves that the tissue samples can be classified with high correctness and the proposed approach is effective and feasible.

关 键 词：特征基因 胃癌 基因表达谱 

分 类 号：Q81[生物学—生物工程]