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  Review: Normalization and Quantification of Differential Expression

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

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166.pdf (Any fulltext), 162KB
 
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 Creators:
Steinhoff, Christine1, Author           
Vingron, Martin2, Author           
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              
2Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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Free keywords: microarray, normalization, low-level analysis, differential gene expression
 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.

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Language(s): eng - English
 Dates: 2006-03-07
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 311565
DOI: 10.1093/bib/bbl002
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Title: Briefings in Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 7 (2) Sequence Number: - Start / End Page: 166 - 177 Identifier: ISSN: 1467-5463