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Two-dimensional embeddings for single-cell visualisation
Embed single-cell expression data in two dimensions while preserving neighbourhoods, distances and densities.
+29 −0 scienceslack.json 新增 查看文件
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| 1 | +{ | |
| 2 | + "domain": "life-health", | |
| 3 | + "topics": [ | |
| 4 | + "single-cell" | |
| 5 | + ], | |
| 6 | + "type": "algorithm", | |
| 7 | + "benchmark": { | |
| 8 | + "task": "Reduce scRNA-seq data to a 2D embedding for visualisation", | |
| 9 | + "metric": { | |
| 10 | + "name": "Overall: mean control-scaled metric score (0–1)", | |
| 11 | + "better": "higher" | |
| 12 | + }, | |
| 13 | + "baseline": { | |
| 14 | + "name": "Best on Open Problems v1.0.0 (densMAP)", | |
| 15 | + "score": 0.355439 | |
| 16 | + } | |
| 17 | + }, | |
| 18 | + "source": { | |
| 19 | + "key": "openproblems-bio", | |
| 20 | + "name": "Open Problems in Single-Cell Analysis", | |
| 21 | + "url": "https://openproblems.bio/benchmarks/dimensionality_reduction", | |
| 22 | + "id": "dimensionality_reduction", | |
| 23 | + "curator": "Open Problems in Single-Cell Analysis consortium", | |
| 24 | + "poser": "Luke Zappia, Michael Vinyard, Michal Klein et al.", | |
| 25 | + "status": "open", | |
| 26 | + "as_of": "2026-10-20", | |
| 27 | + "catalog": "0521c19bbd38" | |
| 28 | + } | |
| 29 | +} | |