The curse of normalization
The curse of normalization
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DOI：
10.1002/cfg.192
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发表时间：
2002-08-01
影响因子：
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通讯作者：
Sanchez-Cabo, F
中科院分区：
文献类型：
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作者：
Wolkenhauer, O;Möller-Levet, C;Sanchez-Cabo, F
尽管微阵列技术在促进我们对基因表达调控所涉及的细胞过程的理解方面有着巨大的潜力，但在任何数据解释开始之前，对微阵列技术产生的数据进行统计预处理已成为必要。我们区分（并去除）非生物变异和生物变异的过程称为归一化。随着大量的实验设计，技术和影响数据采集的技术，在文献中已经提出了许多归一化方法。这篇简短的评论的目的不是为了增加已经提出的许多建议，而是讨论我们在分析微阵列数据时遇到的一些困难。版权所有（C）2002约翰威利父子有限公司
Despite its enormous promise to further our understanding of cellular processes involved in the regulation of gene expression, microarray technology generates data for which statistical pre-processing has become a necessity before any interpretation of data can begin. The process by which we distinguish (and remove) non-biological variation from biological variation is called normalization. With a multitude of experimental designs, techniques and technologies influencing the acquisition of data, numerous approaches to normalization have been proposed in the literature. The purpose of this short review is not to add to the many suggestions that have been made, but to discuss some of the difficulties we encounter when analysing microarray data. Copyright (C) 2002 John Wiley Sons, Ltd.