Table 2.
Area | Threshold value | Accuracy | |||||||
---|---|---|---|---|---|---|---|---|---|
VL3 | VLXT | VSL2 | VL3 | VLXT | VSL2 | VL3 | VLXT | VSL2 | |
TM-alpha | 0.740 ± 0.002 | 0.768 ± 0.004 | 0.826 ± 0.003 | 0.18 ± 0 | 0.16 ± 0 | 0.31 ± 0 | 67.7% ± 0.5% | 70.8% ± 0.5% | 75.1% ± 0.5% |
TM-beta | 0.713 ± 0.009 | 0.705 ± 0.010 | 0.796 ± 0.009 | 0.24 ± 0 | 0.38 ± 0.01 | 0.49 ± 0.01 | 64.1% ± 1.3% | 67.7% ± 0.6% | 72.5% ± 0.8% |
PDD | 0.729 ± 0.003 | 0.712 ± 0.004 | 0.762 ± 0.003 | 0.28 ± 0.01 | 0.33 ± 0 | 0.43 ± 0.01 | 66.0% ± 0.4% | 64.9% ± 0.5% | 69.1% ± 0.3% |
The areas under the ROC curves (Area), the threshold values determined from the breakeven points specified as values on the X-axis (Threshold Values) and accuracies calculated using the indicated threshold values (Accuracy) for data obtained using the VL3, VLXT, and VSL2 predictors as applied to sequences from the TM-alpha, TM-beta and PDD datasets.