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ID: 191167.0, MPI für molekulare Genetik / Department of Computational Molecular Biology
Analysis of microarray gene expression data
Authors:Huber, Wolfgang; Heydebreck, Anja von; Vingron, Martin
Language:English
Place of Publication:Chichester [et al]
Publisher:John Wiley & Sons, Ltd
Date of Publication (YYYY-MM-DD):2003-07
Title of Book:Handbook of Statistical Genetics
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Full Name of Book-Editor(s):D. J. Balding, M. Bishop, C. Cannings
Copyright:© 2000-2004 by John Wiley & Sons, Ltd
Review Status:not specified
Audience:Experts Only
Abstract / Description: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.
External Publication Status:published
Document Type:InBook
Communicated by:Martin Vingron
Affiliations:MPI für molekulare Genetik
External Affiliations:German Cancer Research Center, Division of Molecular Genome Analysis, 69120 Heidelberg
Identifiers:ISBN:0-470-84829-4 [ID No:1]
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