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微阵列探针表达测量、数据归一化及统计验证。

Microarray probe expression measures, data normalization and statistical validation.

作者信息

Saviozzi Silvia, Calogero Raffaele A

机构信息

Department of Biological and Clinical Sciences, University of Torino, c/o Az. Ospedaliera S. Luigi Regione Gonzole 10, Orbassano (TO) 10043, Italy.

出版信息

Comp Funct Genomics. 2003;4(4):442-6. doi: 10.1002/cfg.312.

DOI:10.1002/cfg.312
PMID:18629084
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2447370/
Abstract

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 validation of differential expression.

摘要

DNA微阵列技术是一种获取基因功能信息的高通量方法。微阵列技术基于将数千个EST序列/基因/寡核苷酸以有序方式沉积/合成在固体表面。由于产生的数据点数量众多，计算工具对于微阵列数据分析和挖掘以从实验结果中获取知识至关重要。在本综述中，我们将重点关注目前可用于定义基因表达强度测量、微阵列数据标准化以及差异表达统计验证的一些方法。

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