Table 1 Model features ranked by their BDT training efficiency
From: Predicting ligand-dependent tumors from multi-dimensional signaling features
Feature | BDT importance score |
|---|---|
pS6 AUC | 0.65 |
EGFR homodimerization | 0.56 |
EGFR-HER2 heterodimerization | 0.56 |
Met-ErbB3 heterodimerization | 0.55 |
pAKT AUC | 0.43 |
pERK AUC | 0.37 |
PI3K mutation status | 0.35 |
RAS mutation status | 0.30 |
