Error models for microarray intensities

Huber, Wolfgang; von Heydebreck, Anja; Vingron, Martin

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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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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-88AD-B Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-88AE-9

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Urheber:
Huber, Wolfgang, Autor
von Heydebreck, Anja¹, Autor
Vingron, Martin², Autor

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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Zusammenfassung: 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.