中文摘要：

基于微阵列表达数据，探索新的有效特征提取和分类方法。采用小波多分辨率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。基因表达具有明显的多尺度特征，分类率最大达到98．61％，结果稳定。采用多尺度理论对基因表达数据进行分析是一种新的有效的生物信息学方法，值得进一步探索与研究。

英文摘要：

To search a new and effective method for feature extraction and classification based on microarray expression data.The features of gene expression are extracted by the wavelet multi-resolution analysis,the features are classified by the support vector machines and BP neural network methods.There are multi-scale feature gene expression,the maximum classification rate is 98.61%,with stable results.Multi-scale theory analysis of gene expression is a new and effective bioinformatics method,which is worth further exploration and research.