Temporal scRNA-seq data modeling on Zebrafish Hard
52.71Score at t=2PRESCIENT
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| PRESCIENT2026.05 | 52.71 | 45.53 | 39.98 | 40.46 | 46.44 | 47.69 | |
| LGP-OTvarsigma(t)=0.12026.05 | 35.87 | 33.33 | 30.36 | 32.52 | 35.73 | 37.37 | |
| LGP-OTvarsigma(t)=varsigma2026.05 | 34.79 | 33.83 | 31.25 | 33.5 | 36.66 | 38.6 | |
| MIOFlow2026.05 | 34.34 | 31.73 | 30.47 | 33.17 | 36.53 | 37.99 | |
| LGP-OTfeatures=w. time2026.05 | 34.13 | 31.52 | 28.96 | 31.2 | 35.01 | 36.47 | |
| scNODE2026.05 | 34.08 | 32.04 | 29.98 | 32.5 | 36.57 | 38 | |
| PI-SDE2026.05 | 34.04 | 31.76 | 30.51 | 32.99 | 37.34 | 39.31 | |
| VGFM2026.05 | 34.03 | 32.17 | 29.11 | 31.1 | 35.64 | 40.19 | |
| LGP-OT2026.05 | 34.01 | 31.98 | 28.7 | 30.85 | 34.9 | 36.79 |