Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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




Conference paper

Publication Date



41 - 42