| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Perturbation prediction | PBMC | R20.999 | 11 | |
| Single-cell Denoising | PBMC OpenProblems benchmark | Mean Score0.711 | 11 | |
| Gene Representation Learning | PBMC (test) | Average Score92 | 9 | |
| Gene embedding | PBMC | Average Rank2.33 | 9 | |
| Cell type clustering | PBMC | ARI0.64 | 8 | |
| scRNA-seq integration | pbmc | Batch Correction88.6 | 7 | |
| Gene rank reconstruction | PBMC12k | L-Dist6 | 6 | |
| Denoising | PBMC10k | SCC0.916 | 6 | |
| Multi-batch integration | PBMC12k | Batch Score0.9755 | 5 | |
| Clustering | PBMC | Homogeneity79.8 | 5 | |
| scRNA-seq clustering | pbmc | Clusters Used100 | 3 | |
| Conditional scATAC-seq Generation | PBMC10k | SCC0.846 | 3 | |
| Unconditional scATAC-seq Generation | PBMC 10k | SCC0.964 | 3 | |
| Missing data recovery | PBMC | Metric- | 0 |