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- W613979368 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. Error models for microarray intensities Wolfgang Huber1∗, Anja von Heydebreck and Martin Vingron 1 German Cancer Research Center, Department of Molecular Genome Analysis, 69120 Heidelberg, Germany Tel. +49 6221 42 4709, Fax +49 6221 4252 4709, w.huber@dkfz.de 2 Max-Planck-Institute for Molecular Genetics, Department of Computational Molecular Biology, 14195 Berlin, Germany Tel. +49 30 8413 1168, Fax +49 30 8413 1152, [heydebre,vingron]@molgen.mpg.de 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.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." @default.
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- W613979368 date "2004-03-09" @default.
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- W613979368 title "Error models for microarray intensities" @default.
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