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Figure 1 | BMC Bioinformatics

Figure 1

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

Figure 1

Goodness of fit and parsimony of the inferred models. Plots of the RMSE (a) and average number of parents per variable (b) for the nonlinear models, as a function of the parameter α 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 α → + ∞, the RMSE saturates at 0.247, and the average number of parents saturates at 3.4.

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