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Table 2 Comparison of different methods on the DREAM4 in-silico size 100 challenge networks (without utilizing the information from prior data)

From: PFBNet: a priori-fused boosting method for gene regulatory network inference

Method GENIE-lag Jump3 BiXGBoost PFBNet
Data used TS TS TS TS
Metrics AUPR AUROC AUPR AUROC AUPR AUROC AUPR AUROC
Network_1 0.183 0.791 0.270 0.772 0.235 0.806 0.360 0.831
Network_2 0.109 0.708 0.110 0.665 0.152 0.730 0.210 0.768
Network_3 0.224 0.765 0.200 0.741 0.261 0.765 0.343 0.794
Network_4 0.163 0.745 0.180 0.699 0.204 0.735 0.302 0.788
Network_5 0.148 0.796 0.174 0.735 0.214 0.769 0.337 0.829
  1. The highest averaged AUPR and AUROC values are marked in bold for each network. TS, time-series expression data