From patterns to pathways: gene expression data analysis comes of age

被引：355

作者：

Slonim, DK ^{[1
]}

机构：

[1] Wyeth Res, Dept Genom, Cambridge, MA 02140 USA

来源：

NATURE GENETICS | 2002年 / 32卷 / Suppl 4期

关键词：

D O I：

10.1038/ng1033

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Many different biological questions are routinely studied using transcriptional profiling on microarrays. A wide range of approaches are available for gleaning insights from the data obtained from such experiments. The appropriate choice of data-analysis technique depends both on the data and on the goals of the experiment. This review summarizes some of the common themes in microarray data analysis, including detection of differential expression, clustering, and predicting sample characteristics. Several approaches to each problem, and their relative merits, are discussed and key areas for additional research highlighted.

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页码：502 / 508

页数：7

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