Table 4.

Sensitivities and specificities of the SNP classifier combinations

∼ 1000 positives		Sensitivity			Specificity
2K-bit code	Combination	centerMean	Median	SD	Mean	Median	SD
2	C1∧C2∧C3	0.083	0.082	0.017	1.000	1.000	0.0000
4	C2∧C3	0.098	0.097	0.018	1.000	1.000	0.0000
6	C1∧C3	0.144	0.143	0.020	1.000	1.000	0.0000
18	C1∧C2	0.483	0.481	0.053	1.000	1.000	0.0000
24	At least two classifiers	0.559	0.558	0.053	1.000	1.000	0.0000
64	C2∨C3	0.645	0.647	0.047	0.997	0.997	0.0001
96	C1∨C3	0.869	0.869	0.035	0.997	0.997	0.0001
120	C1∨C2	0.932	0.933	0.021	0.998	0.998	0.0001
128‡	C1∨C2∨C3	0.943	0.944	0.018	0.996	0.996	0.0002
∼ 5000 positives		Sensitivity			Specificity
2K-bit code	Combination	Mean	Median	SD		Mean	Median	SD
2	C1∧C2∧C3	0.065	0.066	0.007		1.000	1.000	0.0000
4	C2∧C3	0.079	0.079	0.007		1.000	1.000	0.0000
6	C1∧C3	0.123	0.123	0.008		1.000	1.000	0.0000
18	C1∧C2	0.439	0.440	0.025		1.000	1.000	0.0000
24	At least two classifiers	0.510	0.511	0.026		1.000	1.000	0.0000
64	C2∨C3	0.601	0.601	0.024		0.987	0.987	0.0002
96	C1∨C3	0.850	0.852	0.018		0.991	0.991	0.0004
120	C1∨C2	0.918	0.919	0.011		0.994	0.994	0.0004
128‡	C1∨C2∨C3	0.930	0.931	0.010		0.986	0.986	0.0004

SD: Standard Deviation.

^‡Optimal combination using ranking criteria 1, 2, 3 and 4.