Table 2. Means and standard deviations of accuracy for phenotype prediction and AUC for network identification on simulation data with different SNR.

SNR (dB)	Phenotype prediction (accuracy)			Network identification (AUC)
	CyNetSVM	NetSVM	SVM	CyNetSVM	NetSVM	SVM
10	1.00 ± 0.00	1.00 ± 0.00	1.00 ± 0.00	0.86 ± 0.04	0.85 ± 0.03	0.76 ± 0.04
8	1.00 ± 0.00	1.00 ± 0.00	1.00 ± 0.00	0.83 ± 0.05	0.84 ± 0.06	0.76 ± 0.04
6	1.00 ± 0.00	1.00 ± 0.00	1.00 ± 0.00	0.83 ± 0.04	0.84 ± 0.04	0.77 ± 0.03
4	1.00 ± 0.00	1.00 ± 0.00	1.00 ± 0.00	0.83 ± 0.06	0.84 ± 0.06	0.77 ± 0.03
2	1.00 ± 0.00	1.00 ± 0.00	1.00 ± 0.00	0.83 ± 0.05	0.83 ± 0.06	0.76 ± 0.03
0	0.99 ± 0.01	0.99 ± 0.01	0.99 ± 0.01	0.83 ± 0.04	0.83 ± 0.04	0.77 ± 0.04
-2	0.98 ± 0.02	0.98 ± 0.02	0.99 ± 0.01	0.81 ± 0.03	0.80 ± 0.04	0.74 ± 0.05
-4	0.91 ± 0.02	0.91 ± 0.03	0.91 ± 0.02	0.79 ± 0.04	0.79 ± 0.07	0.72 ± 0.02
-6	0.85 ± 0.03	0.85 ± 0.03	0.83 ± 0.04	0.79 ± 0.06	0.79 ± 0.06	0.71 ± 0.03
-8	0.77 ± 0.06	0.78 ± 0.06	0.78 ± 0.06	0.79 ± 0.06	0.79 ± 0.07	0.72 ± 0.04
-10	0.71 ± 0.06	0.70 ± 0.05	0.71 ± 0.05	0.70 ± 0.05	0.71 ± 0.05	0.68 ± 0.03