Table 1 Assessment of CN calling methods for SA501X3F xenograft breast cancer data
From: CONET: copy number event tree model of evolutionary tumor history for single-cell data
Method | CNCC-RMSE | Avg. CNAs per cell | Unique CNAs | Singleton CNAs |
|---|---|---|---|---|
CONET | 0.43 | 86.8 | 374 | 153 |
HMMCopy | 0.82 | 43.74 | 1871 | 1257 |
CBS+MergeLevels | 0.39 | 79.95 | 3860 | 2757 |
SCICoNE | 0.61 | 93.55 | 118 | 4 |
CC-rounding | 0.25 | 3761 | 200,013 | 100,306 |