Analysing gene expression data from DNA microarrays to identify candidate genes

被引：0
|
作者：
Wu, TD [1 ]
机构：
[1] Genentech Inc, Dept Bioinformat, 1 DNA Way,MS 93, San Francisco, CA 94080 USA
来源：
JOURNAL OF PATHOLOGY | 2001年 / 195卷 / 01期
关键词：
DNA microarrays; gene expression; bioinformatics; functional genomics; data analysis; review article;
D O I：
10.1002/1096-9896(200109)195:1<53::AID-PATH891>3.0.CO;2-H
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Microarray data analysis can be divided into two tasks: grouping of genes to discover broad patterns of biological behaviour, and filtering of genes to identify specific genes of interest. Whereas the gene-grouping task is largely addressed by cluster analysis, the gene-filtering task relies primarily on hypothesis testing. This review article surveys analytical methods for the gene-filtering task. Various types of data analysis are discussed for four basic types of experimental protocols: a comparison of two biological samples; a comparison of two biological conditions; each represented by a set of replicate samples; a comparison of multiple biological conditions; and analysis of covariate information. Copyright (C) 2001 John Wiley & Sons, Ltd.
引用
收藏
页码：53 / 65
页数：13
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