BMC Bioinformatics

Table 4 AUPR and AUROC results for the compared methods

From: Network inference with ensembles of bi-clustering trees

AUPR	T_n×L_m			L_n×T_m			T_n×T_m
Data	eBICT	BLM−NII	STC	eBICT	BLM−NII	STC	eBICT	BLM−NII	STC
ern	0.397	0.401	0.378	0.043	0.03	0.032	0.048	0.029	0.029
dpie	0.645	0.489	0.635	0.303	0.217	0.233	0.175	0.047	0.122
dpii	0.544	0.338	0.542	0.327	0.245	0.294	0.073	0.075	0.054
dpig	0.239	0.168	0.197	0.345	0.277	0.294	0.084	0.033	0.06
dpin	0.385	0.373	0.351	0.507	0.476	0.48	0.106	0.079	0.06
srn	0.157	0.126	0.133	0.028	0.032	0.032	0.022	0.019	0.02
Avg	0.395	0.316	0.373	0.259	0.213	0.228	0.085	0.047	0.058
AUROC	T_n×L_m			L_n×T_m			T_n×T_m
ern	0.845	0.861	0.842	0.603	0.552	0.549	0.729	0.579	0.571
dpie	0.873	0.832	0.823	0.825	0.823	0.729	0.719	0.571	0.602
dpii	0.824	0.749	0.773	0.793	0.777	0.767	0.582	0.569	0.533
dpig	0.662	0.527	0.528	0.854	0.815	0.835	0.655	0.472	0.508
dpin	0.625	0.622	0.553	0.786	0.8	0.807	0.578	0.532	0.423
srn	0.794	0.832	0.8	0.544	0.532	0.505	0.551	0.493	0.518
Avg	0.771	0.737	0.72	0.734	0.717	0.699	0.636	0.536	0.526

Best values appear in boldface

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