Table 2 The comparison of F1-score between MSCNV and FERRC.
From: A copy number variation detection method based on OCSVM algorithm using multi strategies integration
Configurations | N | Methods | M(QR) | P value |
|---|---|---|---|---|
SC = 20X, TP = 0.2 | 30 | MSCNV | 0.714(0.086) | 0.000 |
30 | FREEC | 0.625(0.045) | ||
SC = 20X, TP = 0.4 | 30 | MSCNV | 0.905(0.081) | 0.000 |
30 | FREEC | 0.686(0.045) | ||
SC = 20X, TP = 0.6 | 30 | MSCNV | 0.952(0.026) | 0.000 |
30 | FREEC | 0.796(0.052) | ||
SC = 20X, TP = 0.8 | 30 | MSCNV | 0.952(0) | 0.000 |
30 | FREEC | 0.769(0.067) | ||
SC = 30X, TP = 0.2 | 30 | MSCNV | 0.795(0.085) | 0.000 |
30 | FREEC | 0.606(0.037) | ||
SC = 30X, TP = 0.4 | 30 | MSCNV | 0.929(0.076) | 0.000 |
30 | FREEC | 0.649(0.07) | ||
SC = 30X, TP = 0.6 | 30 | MSCNV | 0.952(0) | 0.000 |
30 | FREEC | 0.78(0.078) | ||
SC = 30X, TP = 0.8 | 30 | MSCNV | 0.952(0) | 0.000 |
30 | FREEC | 0.741(0.055) | ||
SC = 40X, TP = 0.2 | 30 | MSCNV | 0.842(0.106) | 0.000 |
30 | FREEC | 0.588(0.035) | ||
SC = 40X, TP = 0.4 | 30 | MSCNV | 0.952(0.026) | 0.000 |
30 | FREEC | 0.632(0.081) | ||
SC = 40X, TP = 0.6 | 30 | MSCNV | 0.952(0.022) | 0.000 |
30 | FREEC | 0.788(0.077) | ||
SC = 40X, TP = 0.8 | 30 | MSCNV | 0.952(0) | 0.000 |
30 | FREEC | 0.714(0.111) |
