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. 2018 Dec 5;13(12):e0207840. doi: 10.1371/journal.pone.0207840

Table 5. Correction of previous false negatives and false positives by current SVM model.

Sample Error type i Reported Z score D1 j D2 D3 D4 D5 D6 D7 D8 D9 D10 Probability of negative in SVM prediction Probability of positive in SVM prediction
chr13
13_FP_1 FP 3.61 7.80908 -18.4017 10.4249 -15.4931 8.12209 -19.1393 22.38411066 151.515 32 17 0.998877 0.00112284
13_FP_2 FP 4.78 7.74425 -9.47269 9.7306 -7.34031 8.2322 -10.0696 14.70334619 130.36 25 17 0.998162 0.00183793
chr18
18_FN_1 FN 1.77 3.31662 -2.6893 5.82699 -0.108174 3.20528 -2.59902 5.63756896 119.412 42 17 1.71E-007 1
18_FN_2 FN 1.43 5.54394 -3.20759 8.52815 -0.100806 5.79965 -3.35554 8.214781802 149.353 41 16 1.00E-007 1
18_FP_1 FP 3.22 3.36731 -10.1558 4.56993 -8.8769 3.31148 -9.98747 12.69375338 153.482 26 17 0.984857 0.015143
18_FN_3 FN 1.93 5.92865 -4.21056 6.68878 -3.41427 4.61288 -3.2761 15.25077553 148.944 27 18 2.13E-005 0.999979
chr21
21_FP_1 FP 2.27 2.17527 -10.4262 4.38166 -8.02835 2.35229 -11.2747 17.3586114 139.857 25 17 0.997866 0.00213356
21_FN_1 FN 1.76 6.7041 -3.30991 8.41899 -1.47674 5.21281 -2.57365 13.79432935 150.056 36 12 0.00435514 0.995645

The SVM model trained in this study corrected four false negatives and four false positives previously called by one-Z-test method.

i FP means false positive and FN means false negative.

j The definitions of features D1 to D10 were given in Table 2.