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 C1C2C3 0.083 0.082 0.017 1.000 1.000 0.0000
4 C2C3 0.098 0.097 0.018 1.000 1.000 0.0000
6 C1C3 0.144 0.143 0.020 1.000 1.000 0.0000
18 C1C2 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 C2C3 0.645 0.647 0.047 0.997 0.997 0.0001
96 C1C3 0.869 0.869 0.035 0.997 0.997 0.0001
120 C1C2 0.932 0.933 0.021 0.998 0.998 0.0001
128 C1C2C3 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 C1C2C3 0.065 0.066 0.007 1.000 1.000 0.0000
4 C2C3 0.079 0.079 0.007 1.000 1.000 0.0000
6 C1C3 0.123 0.123 0.008 1.000 1.000 0.0000
18 C1C2 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 C2C3 0.601 0.601 0.024 0.987 0.987 0.0002
96 C1C3 0.850 0.852 0.018 0.991 0.991 0.0004
120 C1C2 0.918 0.919 0.011 0.994 0.994 0.0004
128 C1C2C3 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.

Keith et al.

Keith et al. BMC Bioinformatics 2012 13:179   doi:10.1186/1471-2105-13-179

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