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Table 4 Comparison of different methods on the E.coli datasets (without utilizing the information from prior data)

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

Method GEINE-lag Jump3 BiXGBoost PFBNet
Data used TS TS TS TS
Metrics AUPR AUROC AUPR AUROC AUPR AUROC AUPR AUROC
Cold 0.011 0.465 0.014 0.535 0.021 0.665 0.028 0.673
Heat 0.012 0.48 0.013 0.513 0.02 0.651 0.044 0.68
Oxidative-stress 0.011 0.458 0.021 0.558 0.018 0.624 0.032 0.671
  1. The highest averaged AUPR and AUROC values are marked in bold for each network