Fig. 2: In silico modeling: fiber cross-linking plays a major role in tissue repair outcome prediction. | npj Regenerative Medicine

Fig. 2: In silico modeling: fiber cross-linking plays a major role in tissue repair outcome prediction.

From: A computational model reveals an early transient decrease in fiber cross-linking that unlocks adult regeneration

Fig. 2

a 3D scatter plot of repair index over a wide range of values of three parameters used in in silico modeling (Pf, νf, νad). b ML pipeline for the predictive model. c RF SHAP-values when varying each parameter for a regenerative outcome. The color in each graph represents the value of the associated parameter – red for high values and blue for low values of the parameter. A positive SHAP value means that the parameter contributes positively to the prediction whereas a negative SHAP value means that the parameter contributes negatively to the prediction. The parameter ranking indicates the importance in the class (repair outcome) prediction: the parameter at the top is the most important for predicting the class. d RF SHAP-values according to each parameter for the scarring class. e RF SHAP dependence plots for parameter values in the regenerative class. f RF SHAP dependence plots of each parameter value for the scarring class.

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