关键词: 特征选择, 多类, 分类器, 基因表达谱

Abstract: Feature gene for classification is one of important problems in gene expression data analysis. Current methods ignore that gene expression is unbalanced in different classes. The paper introduces a new feature selection method for any sample. The method presents a new heuristic algorithm that is composed of an improved difference between classes and an original undulation inside the class. The experimental results show that the method is effective on selecting feature genes for unbalanced multi-class sample and advancing classification capability of classifiers.

Key words: feature selection, multi-class, classifier, gene expression profile