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We examine the use of Bayesian signal processing to improve the modelling of microarray images, and ultimately the estimation of gene expression ratios. A novel elliptical spot shape model is presented, with a Bayesian image modelling method. Prior knowledge from neighbouring 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. ©2006 IEEE.

Original publication

DOI

10.1109/GENSIPS.2006.353146

Type

Conference paper

Publication Date

01/12/2006

Pages

41 - 42