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Comparative and Functional Genomics
Volume 4 (2003), Issue 4, Pages 442-446
http://dx.doi.org/10.1002/cfg.312
Conference review

Microarray Probe Expression Measures, Data Normalization and Statistical Validation

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

Received 7 May 2003; Revised 5 June 2003; Accepted 6 June 2003

Copyright © 2003 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.