From: DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
Method | ACC | BACC | Prec | Rec | F1 | ROC AUC | MCC | Kappa | AP |
---|---|---|---|---|---|---|---|---|---|
DFFNDDS | 0.739(0.002) | 0.718(0.002) | 0.759(0.003) | 0.825(0.009) | 0.791(0.003) | 0.816(0.001) | 0.447(0.003) | 0.445(0.003) | 0.864(0.002) |
DeepDDS | 0.822(0.004) | 0.749(0.008) | 0.756 (0.020) | 0.575(0.017) | 0.653(0.014) | 0.856(0.007) | 0.545(0.015) | 0.536(0.014) | 0.756(0.014) |
DeepSynergy | 0.795(0.006) | 0.705(0.010) | 0.730(0.008) | 0.486(0.001) | 0.583(0.006) | 0.809(0.007) | 0.471(0.016) | 0.455(0.008) | 0.693(0.001) |
MRGNN | 0.754(0.007) | 0.670(0.009) | 0.624 (0.017) | 0.459(0.028) | 0.528(0.019) | 0.755(0.009) | 0.376(0.016) | 0.367(0.017) | 0.606(0.017) |
GCNBMP | 0.652 (0.177) | 0.576(0.093) | 0.305(0.274) | 0.315(0.260) | 0.606(0.130) | 0.161(0.198) | 0.151(0.076) | 0.160(0.196) | 0.417(0.154) |
EPGCNDS | 0.750(0.003) | 0.611(0.005) | 0.704(0.004) | 0.270(0.004) | 0.389(0.007) | 0.732(0.006) | 0.319(0.004) | 0.269(0.005) | 0.573(0.013) |
MatchMaker | 0.805(0.003) | 0.717(0.008) | 0.738 (0.014) | 0.508(0.018) | 0.602(0.016) | 0.822(0.007) | 0.493(0.014) | 0.479 (0.015) | 0.708(0.017) |