摘要
基因分类因其应用意义重大,成为近年来研究的热点。显现模式以具有生物意义的隐性基因模式为基础实现对癌症的高识别率,应用前景十分广阔。本文介绍了显现模式的理论体系,并通过白血病数据集分类实验说明了该工具的可行性和有效性。
Gene classification becomes hotspot of research because of its significance in application. Emerging Patterns (EPs) based on hidden gene patterns which have biological meanings can identify cancer with high recognition rate, so it has a bright future for application. The theory of EPs is introduced and experiments are taken on the human acute leukemia dataset. Experimental results show that EPs is feasible and effective.
出处
《计算机与现代化》
2008年第9期134-136,共3页
Computer and Modernization
关键词
基因分类
微阵列
显现模式
gene classification
microarray
emerging patterns