基于粗糙集的支持向量机微阵列数据分类方法

Microarray Data Classification for Support Vector Machines Based on Rough Sets

DNA微阵列技术,使人们可以同时观测成千上万个基因的表达水平,对其数据的分析已成为生物信息学研究的焦点。针对微阵列基因表达数据维数高、样本小、非线性的特点,设计了一种基于粗糙集的支持向量机基因表达数据分类方法,该方法采用粗糙集进行基因特征约简,运用支持向量机进行数据分类,实验表明其分类效果良好。

Based on DNA micro array experiment, the expression level of thousands of genes can be observed simultaneously, and the method of the analysis is focused in bioinformaticso Because microarray gene expression data are high dimensions and few samples and nonlinear, a method of gene expression data analysis was put forward, in which the gene subset are reduced by the method of rough set and support vector machine were applied to test the performances, this method has been successfully applied to several expression data sets.