Table 2.

Pairwise comparison of different models using cis-enrichment and trans-enrichment analysis

	GDL	G-Lasso	SIOL	Mtlasso2G	Multi-task	Sparse group	LORS	Lasso
Cis-enrichment
GGDL	0.0003	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001
GDL	–	0.0009	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001
G-Lasso	–	–	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001
SIOL	–	–	–	0.1213	0.0331	0.0173	<0.0001	<0.0001
Mtlasso2G	–	–	–	–	0.0487	0.0132	<0.0001	<0.0001
Multi-task	–	–	–	–	–	0.4563	0.4132	<0.0001
Sparse group	–	–	–	–	–	–	0.4375	<0.0001
LORS	–	–	–	–	–	–	–	<0.0001
Trans-enrichment
GGDL	0.0881	0.0119	0.0102	0.0063	0.0006	0.0003	<0.0001	<0.0001
GDL	–	0.0481	0.0253	0.0211	0.0176	0.0004	<0.0001	<0.0001
G-Lasso	–	–	0.0312	0.0253	0.0183	0.0007	<0.0001	<0.0001
SIOL	–	–	–	0.1976	0.1053	0.0044	0.0005	<0.0001
Mtlasso2G	–	–	–	–	0.1785	0.0061	0.0009	<0.0001
Multi-task	–	–	–	–	–	0.0235	0.0042	0.0011
Sparse group	–	–	–	–	–	–	0.0075	0.0041
LORS	–	–	–	–	–	–	–	0.2059