From: DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
Method | ACC | BACC | Prec | Rec | F1 | ROC AUC | MCC | Kappa | AP |
---|---|---|---|---|---|---|---|---|---|
DFFNDDS | 0.799(0.008) | 0.731(0.010) | 0.677(0.028) | 0.572(0.028) | 0.619(0.013) | 0.829(0.010) | 0.489(0.017) | 0.485(0.017) | 0.693(0.018) |
DeepDDS | 0.790(0.009) | 0.713(0.009) | 0.675(0.037) | 0.531(0.017) | 0.593(0.016) | 0.812 (0.007) | 0.461(0.023) | 0.455(0.021) | 0.676 (0.024) |
DeepSynergy | 0.583(0.004) | 0.629 (0.015) | 0.393(0.003) | 0.743(0.017) | 0.513(0.018) | 0.630(0.034) | 0.199(0.032) | 0.187 (0.033) | 0.450 (0.071) |
MRGNN | 0.788(0.010) | 0.692(0.016) | 0.723(0.036) | 0.458(0.049) | 0.558(0.03) | 0.806(0.007) | 0.449(0.012) | 0.428 (0.023) | 0.676(0.02) |
GCNBMP | 0.673(0.190) | 0.620(0.098) | 0.491(0.095) | 0.488(0.017) | 0.437(0.024) | 0.688(0.054) | 0.275(0.025) | 0.265(0.017) | 0.531(0.091) |
EPGCNDS | 0.745 (0.007) | 0.613(0.005) | 0.667 (0.025) | 0.288(0.019) | 0.401(0.015) | 0.727(0.015) | 0.309(0.009) | 0.270(0.008) | 0.566(0.014) |
MatchMaker | 0.680(0.027) | 0.650(0.012) | 0.463 (0.053) | 0.575(0.037) | 0.509(0.021) | 0.701(0.018) | 0.284(0.032)) | 0.279(0.037) | 0.505(0.048) |