Abstract
This letter explores the potential of Bayesian signal processing for improved modeling of microarray images and enhanced estimation of gene expression ratios. Building upon our earlier work, we describe a novel elliptical spot shape model, with a Bayesian model-fitting method. The analysis of gene replicates at the image-modeling level is also briefly discussed. Prior knowledge from neighboring spots is encompassed in the framework of a Markov random field, potentially enhancing the accuracy and reliability of ratio estimates. The techniques may be particularly beneficial for irregular, overlapping, damaged, saturated, or weakly expressed spots.
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