. Author manuscript; available in PMC: 2021 Jan 1.

Published in final edited form as: Proc SIAM Int Conf Data Min. 2020;2020:604–612. doi: 10.1137/1.9781611976236.68

Table 2:

Average prediction errors for ADNI data set.

Type	Method	$G$	M = 2		M = 3
Type	Method	$G$	MCI	AD	MCI	AD	CN
	Lasso		0.897	0.958	0.931	1.022	0.989
FHM	Enet		0.915	0.938	0.886	1.011	0.943
	SRIG	Y	0.882	0.935	0.864	1.033	0.933
	Lasso		0.917	0.995	0.917	0.995	0.978
FHT	Enet		0.874	0.919	0.874	0.919	0.939
	SRIG	Y	0.860	0.905	0.860	0.905	0.936
	gLasso		0.955	0.952	0.939	0.955	0.985
IHM	L₂ gMCP		0.928	0.964	0.922	0.962	0.981
	GRIA-Lasso	Y	0.871	0.911	0.877	0.916	0.930
	GRIA-MCP	Y	0.870	0.900	0.868	0.908	0.916
	sgLasso		0.951	0.963	0.933	0.947	0.986
IHT	L₁ gMCP		0.941	0.969	0.962	0.934	0.966
	sGRIA-Lasso	Y	0.857	0.916	0.863	0.920	0.928
	sGRIA-MCP	Y	0.869	0.898	0.865	0.897	0.918

FHM; fully homogeneous models, FHT; fully heterogeneous models, IHM; integrative homogeneity models, IHT; integrative heterogeneity models, $G$ ; Y indicates the method incorporates graph information.