关键词: 特征选取, 支持向量机, 分类器, 基因表达谱, 中国地鼠

Abstract: Concerning the gene expression profile of Chinese hamster feature, such as highdimension and small sample, a method of feature selection for Chinese hamster classification based on Support Vector Machine (SVM) was proposed in this paper. The method used improved FDR gene feature score criterion to remove the genes irrelevant to the classification. A new distance composed by space distance and function distance was proposed as the criterion of comparability to remove redundant genes. A SVM was used as classifier to validate the classification performance of the feature genes selected. The experimental results show that this method effectively removes the irrelevant and redundant genes, and selected the feature genes that meet the needs of least feature genes which classify accurately on Chinese hamster.

Key words: feature selection, Support Vector Machine (SVM), classifier, gene expression profile, Chinese hamster