From: DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
Method | ACC | BACC | Prec | Rec | F1 | ROC AUC | MCC | Kappa | AP |
---|---|---|---|---|---|---|---|---|---|
DFFNDDS | 0.871(0.002) | 0.834(0.002) | 0.801(0.008) | 0.746(0.006) | 0.773(0.003) | 0.921(0.003) | 0.684(0.004) | 0.683(0.004) | 0.859(0.005) |
DeepDDS | 0.852(0.002) | 0.784(0.004) | 0.783 (0.010) | 0.675 (0.011) | 0.725 (0.005) | 0.900 (0.004) | 0.624 (0.006) | 0.621 (0.006) | 0.821 (0.007) |
DeepSynergy | 0.827(0.003) | 0.762(0.005) | 0.760(0.010) | 0.604 (0.011) | 0.673 (0.009) | 0.860(0.002) | 0.565 (0.010) | 0.558(0.010) | 0.773(0.008) |
MRGNN | 0.810(0.003) | 0.737(0.006) | 0.730(0.010) | 0.560 (0.017) | 0.634(0.008) | 0.845(0.001) | 0.517 (0.007) | 0.508(0.008) | 0.734(0.004) |
GCNBMP | 0.802(0.002) | 0.717(0.006) | 0.737(0.014) | 0.511(0.018) | 0.603(0.010) | 0.828(0.005) | 0.492(0.006) | 0.477(0.007) | 0.710(0.007) |
EPGCNDS | 0.754(0.003) | 0.630(0.013) | 0.672(0.028) | 0.328 (0.039) | 0.438(0.031) | 0.740(0.002) | 0.338(0.012) | 0.305(0.022) | 0.583(0.007) |
MatchMaker | 0.762(0.005) | 0.638(0.009) | 0.698(0.006) | 0.339(0.003) | 0.454(0.002) | 0.746(0.007) | 0.360(0.012) | 0.325(0.005) | 0.568(0.002) |