Gene Expr. 2005;12(4-6):223-30.

An integrated strategy for the optimization of microarray data interpretation.

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Functional Genomics Facility, Division of Biological Sciences, The University of Chicago, 5841 S. Maryland Ave., Chicago, IL 60637, USA. xli@medicine.bsd.uchicago.edu

Abstract

The completion of a microarray experiment represents just a starting point toward understanding the biology of interest. A follow-up strategy is needed to fully elucidate the functional significance of microarray-derived measurements of differential expression. Given the fact that no single approach can fully unravel the fundamental biology that is typically quite complex, the follow-up strategy must be integrated at multiple levels encompassing bioinformatics, genomics, and proteomics. In this review, we discuss an integrative approach, which can be used to prioritize microarray-derived candidate genes, define their functions, and place them in the context of the biological system being studied.

PMID:: 16355722; [PubMed - indexed for MEDLINE]

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An integrated strategy for the optimization of microarray data interpretation.

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