摘要
介绍了目前几种基于DNA微阵列基因表达数据的分类方法。分别阐述了递归分割法、构建森林法以及信息融合方法的算法思想,对每种方法进行了深入描述,并对它们进行了分析和比较。最后对基于基因表达微阵列数据的分类技术进行了展望。
Several classification methods based on DNA gene expression microarray data are introduced in this paper.The methods of recursive partitioning,construction forests and information fusion and their steps are respectively expati-ated and described in detail.This paper also analyses and compares these methods.At last the develop directions of clas-sification technique based on gene expression microarray data are indicated.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第6期171-174,共4页
Computer Engineering and Applications
基金
国家自然科学基金项目(编号:60374070)
广东省自然科学基金项目(编号:031903)
关键词
微阵列数据
基因表达
分类
microarray data,gene expression,classification