From: A robust and accurate single-cell data trajectory inference method using ensemble pseudotime
data set | scTEP | Slingshot | TSCAN | SCORPIUS | PAGA | Monocle3 | VIA |
---|---|---|---|---|---|---|---|
1. Goolam | 0.89 | 0.90 | \(-0.27\) | \(-0.28\) | 0.29 | 0.86 | \(-0.63\) |
2. Manno (Mouse) | 0.27 | 0.30 | \(-0.34\) | 0.17 | 0.33 | 0.46 | \(-0.18\) |
3. Han | 0.73 | 0.69 | \(-0.76\) | 0.39 | 0.66 | 0.19 | 0.27 |
4. Manno (Human) | 0.68 | 0.77 | \(-0.76\) | 0.81 | 0.41 | 0.42 | 0.17 |
5. Yuzwa | 0.66 | 0.41 | 0.62 | \(-0.66\) | 0.66 | 0.35 | 0.62 |
6. Pijuan | 0.62 | 0.58 | 0.20 | \(-0.82\) | 0.56 | 0.67 | 0.86 |
7. Green | 0.72 | 0.75 | \(-0.50\) | \(-0.23\) | 0.08 | 0.84 | 0.28 |
8. Hochgerner | 0.67 | 0.57 | 0.23 | \(-0.39\) | 0.07 | 0.76 | 0.72 |
9. Vladoiu | 0.50 | 0.16 | 0.31 | 0.13 | 0.23 | 0.59 | 0.73 |
10. Weinreb (Cytokine) | 0.50 | 0.21 | \(-0.32\) | 0.05 | 0.30 | 0.40 | NA |
11. Ernst | 0.68 | 0.73 | 0.65 | -0.36 | 0.09 | 0.80 | 0.49 |
12. Delile | 0.71 | 0.49 | \(-0.50\) | -0.66 | NA | 0.35 | 0.31 |
13. Park | 0.33 | 0.20 | \(-0.58\) | 0.48 | 0.06 | 0.70 | \(-0.08\) |
14. Weinreb (inVitro) | 0.53 | 0.41 | 0.09 | 0.58 | 0.43 | 0.20 | NA |
15. Weinreb (inVivo) | 0.64 | 0.36 | \(-0.09\) | 0.33 | 0.34 | 0.43 | NA |
Mean | 0.61 | 0.50 | \(-0.13\) | \(-0.03\) | 0.32 | 0.53 | 0.30 |
Median | 0.66 | 0.49 | \(-0.27\) | 0.05 | 0.315 | 0.59 | 0.30 |
Variance | 0.025 | 0.054 | 0.216 | 0.248 | 0.047 | 0.051 | 0.19 |