From: DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
Method | ACC | BACC | Prec | Rec | F1 | ROC AUC | MCC | Kappa | AP |
---|---|---|---|---|---|---|---|---|---|
DFFNDDS | 0.737(0.0008) | 0.713(0.003) | 0.755(0.005) | 0.831(0.010) | 0.792(0.004) | 0.810(0.003) | 0.441(0.004) | 0.437(0.005) | 0.859(0.002) |
DeepDDS | 0.720(0.003) | 0.684(0.006) | 0.728(0.004) | 0.857(0.014) | 0.787(0.004) | 0.792(0.006) | 0.398(0.009) | 0.387(0.010) | 0.852 (0.002) |
DeepSynergy | 0.703 (0.003) | 0.672(0.004) | 0.727(0.008) | 0.817(0.021) | 0.769(0.006) | 0.768(0.002) | 0.362(0.004) | 0.356(0.005) | 0.833(0.003) |
MRGNN | 0.635 (0.003) | 0.600(0.004) | 0.670(0.005) | 0.772(0.017) | 0.717(0.005) | 0.661(0.004) | 0.213(0.006) | 0.209(0.006) | 0.740(0.004) |
GCNBMP | 0.619(0.008) | 0.571(0.036) | 0.651(0.023) | 0.807(0.019) | 0.716(0.021) | 0.621(0.061) | 0.151(0.076) | 0.148(0.074) | 0.711 (0.053) |
EPGCNDS | 0.626(0.006) | 0.570(0.004) | 0.643(0.005) | 0.845(0.028) | 0.731(0.011) | 0.641(0.005) | 0.168 (0.006) | 0.151(0.007) | 0.726(0.006) |
MatchMaker | 0.684(0.003) | 0.638(0.005) | 0.689(0.008) | 0.866(0.016) | 0.767(0.002) | 0.738(0.002) | 0.314(0.005) | 0.294(0.009) | 0.807(0.003) |