Table 2.

DREAM 4 dataset benchmark.

GRN inference method	Net1		Net2		Net3		Net 4		Net 5		Score
	AUROC	AUPR	AUROC	AUPR	AUROC	AUPR	AUROC	AUPR	AUROC	AUPR
KBoost (2020)	0.74	0.15	0.85	0.31	0.84	0.25	0.82	0.27	0.85	0.32	55.93
GRNBoost2 (2019)	0.64	0.08	0.65	0.10	0.70	0.17	0.69	0.14	0.72	0.11	20.78
PLSNET (2016)	0.70	0.13	0.83	0.28	0.79	0.21	0.82	0.21	0.78	0.18	49.08
ENNET (2013)	0.73	0.17	0.81	0.26	0.81	0.29	0.82	0.29	0.82	0.28	52.66
TIGRESS (2012)	0.61	0.06	0.60	0.08	0.60	0.06	0.69	0.09	0.67	0.11	12.66
GENIE3 (2010)a	0.75	0.16	0.73	0.16	0.78	0.23	0.79	0.21	0.80	0.20	37.72

^aWinner of the DREAM 4 challenge which included 11 algorithms.

The best performance in each column is in bold.