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Error models for microarray intensities (2004)

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.

Publication details
Download http://www.bepress.com/bioconductor/paper6
Publisher The Berkeley Electronic Press
Repository eScholarship@Amherst (United States)
Keywords Calibration, differential expression, error model, microarrays, normalization, parameter estimation, variance stabilization., Microarrays, Statistical Models
Type text