From: DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
Method | ACC | BACC | Prec | Rec | F1 | ROC AUC | MCC | Kappa | AP |
---|---|---|---|---|---|---|---|---|---|
DFFNDDS | 0.592(0.028) | 0.529(0.012) | 0.628(0.041) | 0.823(0.049) | 0.711(0.028) | 0.560(0.016) | 0.081(0.028) | 0.062(0.026) | 0.671(0.035) |
DeepDDS | 0.587(0.009) | 0.527(0.004) | 0.642(0.007) | 0.768(0.038) | 0.699(0.014) | 0.550(0.010) | 0.061(0.010) | 0.057(0.008) | 0.666(0.009) |
DeepSynergy | 0.566(0.014) | 0.528(0.013) | 0.610(0.017) | 0.732(0.041) | 0.665 (0.023) | 0.550(0.019) | 0.060(0.018) | 0.058(0.019) | 0.632(0.025) |
MRGNN | 0.563(0.018) | 0.505(0.003) | 0.609(0.021) | 0.786(0.072) | 0.684(0.028)) | 0.518(0.008) | 0.011(0.007) | 0.010(0.007) | 0.623(0.022) |
GCNBMP | 0.474 (0.09) | 0.501(0.002) | 0.243(0.298) | 0.353(0.439) | 0.287(0.352) | 0.507(0.015) | 0.003 (0.005) | 0.002(0.005) | 0.610(0.021) |
EPGCNDS | 0.590(0.024) | 0.511(0.008) | 0.617(0.019) | 0.868(0.086) | 0.720(0.032) | 0.529 (0.017) | 0.037(0.031) | 0.024(0.018) | 0.634(0.036) |
MatchMaker | 0.583(0.005) | 0.530(0.011) | 0.604(0.010) | 0.838(0.042) | 0.701(0.012) | 0.569(0.016) | 0.076(0.019) | 0.066(0.021) | 0.648(0.014) |