Microarray probe expression measures, data normalization and statistical validation

被引：6

作者：

Saviozzi, S ^{[1
]}

Calogero, RA ^{[1
]}

机构：

[1] Univ Turin, Az Osped S Luigi, Dipartimento Sci Clin & Biol, I-10043 Orbassano, TO, Italy

来源：

COMPARATIVE AND FUNCTIONAL GENOMICS | 2003年 / 4卷 / 04期

关键词：

microarrays; transcriptional profiling; probe set; differential expression;

D O I：

10.1002/cfg.312

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

DNA microarray technology is a high-throughput method for gaining information on gene function. Microarray technology is based on deposition/synthesis, in an ordered manner, on a solid surface, of thousands of EST sequences/genes/oligonucleotides. Due to the high number of generated datapoints, computational tools are essential in microarray data analysis and mining to grasp knowledge from experimental results. In this review, we will focus on some of the methodologies actually available to define gene expression intensity measures, microarray data normalization, and statistical valdation of differential expression. Copyright (C) 2003 John Wiley Sons, Ltd.

引用

页码：442 / 446

页数：5

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