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. 2012 Jul 19;28(18):2342–2348. doi: 10.1093/bioinformatics/bts459

Fig. 1.

Fig. 1.

Overview of approach. (a) An example of a phosphorylation network. (b) Our approach couples automatic generation of chemical models with Bayesian model selection to infer regulators πi of species i. (c) A statistical formulation (graphical model) for equilibrium phosphorylation of species i is characterized by specifying kinases (Inline graphic) and inhibitors (Inline graphic) of kinases. [Bounding boxes are used to indicate multiplicity of variables, shaded nodes are observed with noise.]