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Table 3 Comparison of different methods on the DREAM4 in-silico size 100 challenge networks

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

Method iRafNet HiDi Winner PFBNet
Data used TS, KO TS, KO KO TS, KO
Metrics AUPR AUROC AUPR AUROC AUPR AUROC AUPR AUROC
Network_1 0.552 0.901 0.63 0.916 0.536 0.914 0.639 0.935
Network_2 0.337 0.799 0.448 0.868 0.377 0.801 0.486 0.89
Network_3 0.414 0.835 0.413 0.797 0.39 0.833 0.469 0.886
Network_4 0.421 0.847 0.491 0.852 0.349 0.842 0.524 0.881
Network_5 0.298 0.792 0.251 0.803 0.213 0.759 0.448 0.866
  1. The highest averaged AUPR and AUROC values are marked in bold for each network. TS, time-series expression data; KO, knockout data