Fig. 5
From: Predicting ligand-dependent tumors from multi-dimensional signaling features
Prediction of ligand-induced proliferation using BDTs. a Ratio of true predictions after BDT training with simulated signaling features or receptor expression only, compared to random predictions in the presence of EGF, HRG, IGF or HGF. b For 500 random splits of training and testing cell lines, the BDT outcome is compared to random growth assessment as histogram and cumulative density function, showing the significant improvement due to mechanistic modeling. c Data of in-vitro cell viability screen showing proliferation response (green) or no significant response (red) in different 2D representations of the feature space
