Table 2.
Comparison of performance metrics of different methods on HCV population datasets.
| Algorithm | FP/TP ratio | Recall | Precision | |||
|---|---|---|---|---|---|---|
| HCV1P | HCV2P | HCV1P | HCV2P | HCV1P | HCV2P | |
| Uncorrected | 1201 | 571 | 99.51 | 99.88 | 0.08 | 0.17 |
| Quake | 303.3 | 149 | 96.41 | 97.23 | 0.32 | 0.66 |
| BLESS | 202 | 112 | 98.35 | 97.18 | 0.49 | 0.88 |
| Musket | 938 | 463 | 93.53 | 89.17 | 0.10 | 0.21 |
| BFC | 352 | 161 | 99.32 | 99.84 | 0.28 | 0.61 |
| BayesHammer | 699 | 340 | 98.12 | 97.1 | 0.14 | 0.29 |
| Seecer | 1095 | 528 | 99.48 | 99.85 | 0.09 | 0.19 |
| MultiRes | 37.4 | 19.54 | 96.5 | 94.25 | 2.6 | 4.87 |
The false positive to true positive ratios, Recall, and Precision of error correction methods on the two simulated HCV datasets are shown. Uncorrected refers to the statistics when no error correction is performed. Bold font in each column indicates the best method for each dataset on the evaluated measure.