Review: Normalization and Quantification of Differential Expression

Steinhoff, Christine; Vingron, Martin

doi:10.1093/bib/bbl002

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Review: Normalization and Quantification of Differential Expression

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Steinhoff, Christine
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Vingron, Martin
Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Citation

Steinhoff, C., & Vingron, M. (2006). Review: Normalization and Quantification of Differential Expression. Briefings in Bioinformatics, 7(2), 166-177. doi:10.1093/bib/bbl002.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-8473-B

Abstract

Array-based gene expression studies frequently serve to identify genes that are expressed differently under two or more conditions. The actual analysis of the data, however, may be hampered by a number of technical and statistical problems. Possible remedies on the level of computational analysis lie in appropriate preprocessing steps, proper normalization of the data and application of statistical testing procedures in the derivation of differentially expressed genes. This review summarizes methods that are available for these purposes and provides a brief overview of the available software tools.