Table 3 Performance of six supervised methods on single-cell multi-omics datasets
From: A benchmark study of deep learning-based multi-omics data fusion methods for cancer
| Â | Accuracy | F1 macro | F1 weighted |
|---|---|---|---|
lfNN | 1.0 | 1.0 | 1.0 |
efNN | 1.0 | 1.0 | 1.0 |
lfCNN | 0.962 | 0.952 | 0.962 |
efCNN | 0.981 | 0.976 | 0.981 |
moGCN | 1.0 | 1.0 | 1.0 |
moGAT | 1.0 | 1.0 | 1.0 |