Network inference with ensembles of bi-clustering trees

BMC Bioinformatics

Table 2 AUPR and AUROC results for the compared methods. The tree-ensemble setting is the ERT

AUPR	T_n×L_m			L_n×T_m			T_n×T_m
Data	eBICT	GLSO	LOCMO	eBICT	GLSO	LOCMO	eBICT	GLSO	LOCMO
ern	0.397	0.397	0.404	0.043	0.041	0.043	0.048	0.047	0.035
dpie	0.645	0.638	0.626	0.303	0.294	0.309	0.175	0.163	0.179
dpii	0.544	0.535	0.541	0.327	0.326	0.33	0.073	0.07	0.074
dpig	0.239	0.24	0.234	0.345	0.329	0.318	0.084	0.083	0.073
dpin	0.385	0.362	0.395	0.507	0.506	0.513	0.106	0.105	0.106
srn	0.157	0.158	0.17	0.028	0.03	0.028	0.022	0.024	0.018
Avg	0.395	0.388	0.395	0.259	0.254	0.257	0.085	0.082	0.081
AUROC	T_n×L_m			L_n×T_m			T_n×T_m
ern	0.845	0.849	0.856	0.603	0.594	0.602	0.729	0.721	0.645
dpie	0.873	0.865	0.87	0.825	0.835	0.815	0.719	0.713	0.684
dpii	0.824	0.82	0.824	0.793	0.789	0.8	0.582	0.566	0.54
dpig	0.662	0.654	0.659	0.854	0.85	0.848	0.655	0.658	0.601
dpin	0.625	0.61	0.614	0.786	0.777	0.78	0.578	0.572	0.535
srn	0.794	0.796	0.807	0.544	0.54	0.532	0.551	0.568	0.497
Avg	0.771	0.766	0.772	0.734	0.731	0.735	0.636	0.633	0.584

ISSN: 1471-2105