Clustering microarray data

被引：26

作者：

Gollub, Jeremy ^{[1
]}

Sherlock, Gavin ^{[1
]}

机构：

[1] Stanford Univ, Sch Med, Dept Biochem, Stanford, CA 94305 USA

来源：

DNA MICROARRAYS, PART B: DATABASES AND STATISTICS | 2006年 / 411卷

关键词：

D O I：

10.1016/S0076-6879(06)11010-1

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Even a simple, small-scale, microarray experiment generates thousands to millions of data points. Clearly, spreadsheets or plotting programs do not suffice for analysis of such large volumes of data, and comprehensive analysis requires systematic methods for selection and organization of data. This chapter focuses on the concepts and algorithms of hierarchical clustering and the most commonly employed methods of partitioning or organizing microarray data, and freely available software that implements these algorithms.

引用

页码：194 / +

页数：21

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