Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks-0

Abstract

<p><b>Copyright information:</b></p><p>Taken from "Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks"</p><p>http://www.biomedcentral.com/1471-2105/8/S5/S2</p><p>BMC Bioinformatics 2007;8(Suppl 5):S2-S2.</p><p>Published online 24 May 2007</p><p>PMCID:PMC1892090.</p><p></p> of the parameter of the hyperbolic tangent function (continuous blue curves); the dashed red curves refer to the RMSE and average number of parents for the linear regression model. The dash-dotted green curve in (b) represents the average number of parents in the differential equation model (i.e. the average number of true parents). Further analyses showed that, for β†’ + ∞, the RMSE saturates at 0.247, and the average number of parents saturates at 3.4

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