Is there a commonly accepted prior distribution on gene expression from microarray experiments?
I'm interested in any priors used in microarray analysis that are biologically meaningful. For example, is a Gaussian prior most appropriate for log2 transformed normalised oligo data? If so, is there a good reason for this?
I'm asking as Wang et al seem to generate a prior using data from one ('Lymphochip') microarray and then update this "prior" using data from another (Affy) microarray. I'm not convinced this is particularly "Bayesian", and would be more comfortable given a prior derived from some understanding of how the data should be distributed, which is then updated using both the Affy and Lymphochip data.
I'd be curious to know how others felt about this approach, too!