Table 3.

Means and standard derivations of AUC values of prediction of subnetwork genes on simulation data sets with different false positive rate (FPR) for netSVM, other network-based methods and gene-based methods.

FPR (%)	network-based method				gene-based method
	netSVM	F-norm SVM	Larsnet*	Chuang's method	SVM	Lasso*	T-test
25	0.95 ± 0.02	0.90 ± 0.03	0.93 ± 0.02	0.92 ± 0.03	0.90 ± 0.03	0.81 ± 0.04	0.91 ± 0.02
27	0.95 ± 0.02	0.90 ± 0.03	0.92 ± 0.02	0.93 ± 0.02	0.88 ± 0.02	0.80 ± 0.03	0.89 ± 0.02
29	0.94 ± 0.02	0.89 ± 0.03	0.91 ± 0.02	0.90 ± 0.02	0.86 ± 0.02	0.80 ± 0.03	0.88 ± 0.03
33	0.91 ± 0.03	0.87 ± 0.02	0.89 ± 0.02	0.90 ± 0.02	0.83 ± 0.03	0.79 ± 0.03	0.86 ± 0.04
39	0.92 ± 0.03	0.85 ± 0.03	0.87 ± 0.03	0.87 ± 0.03	0.80 ± 0.04	0.78 ± 0.03	0.83 ± 0.03
46	0.89 ± 0.01	0.83 ± 0.03	0.82 ± 0.02	0.83 ± 0.02	0.75 ± 0.04	0.76 ± 0.03	0.77 ± 0.03
58	0.86 ± 0.02	0.79 ± 0.03	0.77 ± 0.02	0.80 ± 0.02	0.70 ± 0.03	0.72 ± 0.03	0.73 ± 0.04
68	0.83 ± 0.05	0.76 ± 0.03	0.73 ± 0.02	0.72 ± 0.03	0.64 ± 0.05	0.71 ± 0.02	0.66 ± 0.04
77	0.77 ± 0.04	0.70 ± 0.04	0.69 ± 0.02	0.67 ± 0.04	0.55 ± 0.05	0.67 ± 0.02	0.58 ± 0.03
86	0.74 ± 0.04	0.66 ± 0.04	0.64 ± 0.02	0.66 ± 0.03	0.51 ± 0.06	0.63 ± 0.02	0.52 ± 0.04
98	0.70 ± 0.05	0.62 ± 0.04	0.59 ± 0.00	0.56 ± 0.03	0.49 ± 0.05	0.59 ± 0.01	0.47 ± 0.04

*: noise = 0; others: SNR = 0 db;