From: DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
Method | ACC | BACC | Prec | Rec | F1 | ROC AUC | MCC | Kappa | AP |
---|---|---|---|---|---|---|---|---|---|
DFFNDDS | 0.681(0.046) | 0.599(0.028) | 0.512(0.128) | 0.360(0.052) | 0.416(0.062) | 0.651(0.042) | 0.216(0.058) | 0.205(0.052) | 0.489(0.125) |
DeepDDS | 0.689(0.024) | 0.586(0.024) | 0.433(0.066) | 0.349(0.060) | 0.380(0.033) | 0.621(0.030) | 0.184 (0.046) | 0.179(0.044) | 0.400(0.040) |
DeepSynergy | 0.697(0.026) | 0.588(0.022) | 0.470(0.091) | 0.324(0.090) | 0.369(0.053) | 0.630(0.034) | 0.199(0.032) | 0.187 (0.033) | 0.450 (0.071) |
MRGNN | 0.622(0.028) | 0.557(0.021) | 0.361(0.033) | 0.404(0.035) | 0.379(0.020) | 0.574(0.031) | 0.111(0.041) | 0.110(0.041) | 0.342 (0.027) |
GCNBMP | 0.684(0.019) | 0.556(0.035) | 0.332(0.168) | 0.254(0.138) | 0.286 (0.148) | 0.585 (0.051) | 0.122(0.073) | 0.120(0.072) | 0.373(0.044) |
EPGCNDS | 0.678(0.008) | 0.580(0.003) | 0.418(0.007) | 0.364(0.007) | 0.379(0.003) | 0.631(0.003) | 0.170(0.004) | 0.165 (0.007) | 0.395 (0.008) |
MatchMaker | 0.732(0.025) | 0.586(0.023) | 0.479(0.066) | 0.280(0.064) | 0.351(0.066) | 0.649(0.018) | 0.209(0.047) | 0.197(0.047) | 0.415(0.072) |