Dataset | Method | TP | TN | FP | FN | Total | Sensitivity | Specificity | PPV | NPV | F-score |
---|---|---|---|---|---|---|---|---|---|---|---|
ICR96 | DECoN | 247 | 27,330 | 60 | 49 | 27,686 | 0.8345 | 0.9978 | 0.8046 | 0.9982 | 0.8192 |
CNVkit | 205 | 27,225 | 91 | 165 | 27,686 | 0.5541 | 0.9967 | 0.6827 | 0.9940 | 0.6156 | |
panelcn.MOPS | 278 | 27,061 | 18 | 329 | 27,686 | 0.4580 | 0.9993 | 0.9392 | 0.9880 | 0.6157 | |
In silico validation | 58 | 27,390 | 0 | 238 | 27,686 | 0.1959 | 1 | 1 | 0.9914 | 0.3277 | |
NimbleGen | DECoN | 220 | 7236 | 43 | 1138 | 8637 | 0.1620 | 0.9941 | 0.8365 | 0.8641 | 0.2714 |
CNVkit | 777 | 7274 | 582 | 4 | 8637 | 0.9949 | 0.9259 | 0.5717 | 0.9995 | 0.7262 | |
panelcn.MOPS | 736 | 6891 | 619 | 391 | 8637 | 0.6531 | 0.9176 | 0.5432 | 0.9463 | 0.5931 | |
In silico validation | 30 | 7278 | 0 | 1329 | 8637 | 0.0220 | 1 | 1 | 0.8456 | 0.0432 |