Stochastic model of DNA microarrays

Classical stochastic signal modeling is applied to DNA microarray images. The data reflects a small exponential additive noise process and a larger Gaussian fluctuation that scales with spot intensity. The later is likely do to the array fabrication (i.e. printing) process. Correlations are observed amongst pixels in the spot and between test and control images.