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  Analysis of microarray gene expression data

Huber, W., Heydebreck, A. v., & Vingron, M. (2003). Analysis of microarray gene expression data. In D. J. Balding, M. Bishop, & C. Cannings (Eds.), Handbook of Statistical Genetics (pp. /-/). Chichester [et al]: John Wiley & Sons, Ltd.

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 Creators:
Huber, Wolfgang, Author
Heydebreck, Anja von1, Author
Vingron, Martin2, Author           
Affiliations:
1Max Planck Society, ou_persistent13              
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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 Abstract: This article reviews the methods utilized in processing and analysis of gene expression data generated using DNA microarrays. This type of experiment allows to determine relative levels of mRNA abundance in a set of tissues or cell populations for thousands of genes simultaneously. Naturally, such an experiment requires computational and statistical analysis techniques. At the outset of the processing pipeline, the computational procedures are largely determined by the technology and experimental setup that are used. Subsequently, as more reliable intensity values for genes emerge, pattern discovery methods come into play. The most striking peculiarity of this kind of data is that one usually obtains measurements for thousands of genes for only a much smaller number of conditions. This is at the root of several of the statistical questions discussed here.

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Language(s): eng - English
 Dates: 2003-07
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: eDoc: 191167
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Title: Handbook of Statistical Genetics
Source Genre: Book
 Creator(s):
Balding, D. J., Editor
Bishop, M., Editor
Cannings, C., Editor
Affiliations:
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Publ. Info: Chichester [et al] : John Wiley & Sons, Ltd
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: / - / Identifier: ISBN: 0-470-84829-4