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.
Microarrays | Statistical Models
Huber, Wolfgang; von Heydebreck, Anja; and Vingron, Martin, "Error models for microarray intensities" (March 2004). Bioconductor Project Working Papers. Working Paper 6.