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  Error models for microarray intensities

Huber, W., von Heydebreck, A., & Vingron, M. (2004). Error models for microarray intensities. Berkeley, CA: Berkeley Electronic Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-88AD-B Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-88AE-9
Genre: Other

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 Creators:
Huber, Wolfgang, Author
von Heydebreck, Anja1, 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: We derive the additive-multiplicative error model for microarray intensities, and describe two applications. For the detection of differentially expressed genes, we obtain a statistic whose variance is approximately independent of the mean intensity. For the post hoc calibration (normalization) of data with respect to experimental factors, we describe a method for parameter estimation.

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Language(s): eng - English
 Dates: 2004-03-092004-03-09
 Publication Status: Published in print
 Pages: -
 Publishing info: Berkeley, CA : Berkeley Electronic Press
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 226565
 Degree: -

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