Abstract: Gene expression data measured with microarray technology is useful in the classification of cancer. A rough sets based method for gene expression data classification is proposed and its validity is verified on acute leukemia classification. The result with high success rate indicates the rough sets approach is very promising and can hold a high potential to become a useful tool in bioinformatics.

Key words: gene expression, rough sets, cancer classification

摘要： 从微阵列得到的基因表达数据可以用于癌症的分类。该文介绍了基于粗糙集的基因表达数据分类方法，并在急性白血病的数据集上验证了该方法的有效性。实验表明，该方法能取得较高的预测准确率，可以成为生物信息学研究领域的有力工具。

关键词: 基因表达, 粗糙集, 癌症分类

CLC Number: 

• TP18