Table 1:

TF binding prediction for different cancer tissues.

	AUC-ROC (AUC)
Method	Breast	Cervix	Liver
COR	0.5900	0.5758	0.5637
Partial COR†	0.5366	0.5209	0.5175
ARACNE	0.6150	0.5234	0.5636
GENIE3	0.4818†	0.4832	0.4846
TIGRESS†	0.4945	0.4808	0.5018
OTTER spectral	0.5787	0.5420	0.5345
GRAMPA grad	0.6301	0.6328	0.6072
QAP grad	0.6373	0.6287	0.6081
WGCNA TOM	0.6146	0.5842	0.5946
W0	0.6282	0.6261	0.5982
PANDA	0.6739	0.6642	0.6211
OTTER grad	0.6936	0.6833	0.6600
	AUC-PR (AUPR)
COR	0.2772	0.2247	0.3057
Partial COR†	0.2361	0.1952	0.2525
ARACNE	0.2858	0.2027	0.2986
GENIE3	0.2064†	0.1836	0.2437
TIGRESS†	0.2088	0.1845	0.2523
OTTER spectral	0.2555	0.2024	0.2614
GRAMPA grad	0.3162	0.2763	0.3223
QAP grad	0.3215	0.2637	0.3425
WGCNA TOM	0.2834	0.2229	0.3140
W0	0.2865	0.2523	0.3045
PANDA	0.3481	0.2960	0.3503
OTTER grad	0.3752	0.3179	0.3746

The symbol † indicates that binding predictions were made only for TFs with ChIP-seq data due to high computational demands. The highest score for each data set is shown in bold.