From: scdNet: a computational tool for single-cell differential network analysis
Performance | Number of Cells (K) | Proportion of Low-signal Elements (τ) | |||||
---|---|---|---|---|---|---|---|
0 | 0.25 | 0.50 | 0.75 | 0.90 | 0.95 | ||
Accuracy | 10 | 0.84 | 0.77 | 0.81 | – | – | – |
20 | 0.87 | 0.81 | 0.78 | 0.81 | – | – | |
50 | 0.88 | 0.87 | 0.81 | 0.83 | 0.80 | 0.80 | |
100 | 0.87 | 0.87 | 0.85 | 0.79 | 0.83 | 0.80 | |
200 | 0.87 | 0.88 | 0.87 | 0.81 | 0.84 | 0.82 | |
Sensitivity | 10 | 0.82 | 0.36 | 0.11 | – | – | – |
20 | 0.98 | 0.65 | 0.35 | 0.03 | – | – | |
50 | 1.00 | 0.94 | 0.64 | 0.27 | 0.01 | – | |
100 | 1.00 | 1.00 | 0.86 | 0.45 | 0.14 | 0.00 | |
200 | 1.00 | 1.00 | 0.98 | 0.64 | 0.25 | 0.08 | |
Specificity | 10 | 0.85 | 0.87 | 0.99 | – | – | – |
20 | 0.84 | 0.85 | 0.88 | 1.00 | – | – | |
50 | 0.85 | 0.85 | 0.85 | 0.97 | 1.00 | – | |
100 | 0.84 | 0.84 | 0.84 | 0.87 | 1.00 | 1.00 | |
200 | 0.84 | 0.85 | 0.84 | 0.86 | 0.98 | 1.00 |