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. 2010 Mar;17(3):355–367. doi: 10.1089/cmb.2009.0175

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Copyright 2010, Mary Ann Liebert, Inc.

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FIG. 2. — Bayesian networks for the two alternative models compared in the GPTwoSample test. (a) Shared model where both conditions are explained by a single process f(t). (b) Independent model with processes f^A(t) and f^B(t) for each condition. Expression levels for a given gene probe are observed in two biological conditions A and B with replicates and at discrete time points . Observation noise is per replicate and condition. The smoothness induced by the Gaussian process priors is indicated by the thick bands coupling the latent function values.

Inline graphic — Bayesian networks for the two alternative models compared in the GPTwoSample test. (a) Shared model where both conditions are explained by a single process f(t). (b) Independent model with processes f^A(t) and f^B(t) for each condition. Expression levels for a given gene probe are observed in two biological conditions A and B with replicates and at discrete time points . Observation noise is per replicate and condition. The smoothness induced by the Gaussian process priors is indicated by the thick bands coupling the latent function values.