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Predicting drug responses across blood cell types
Predict drug-induced expression changes in B and myeloid cells for held-out compounds, from responses measured in other blood cell types.
| 1 | { |
| 2 | "domain": "life-health", |
| 3 | "topics": [ |
| 4 | "single-cell", |
| 5 | "drug-discovery" |
| 6 | ], |
| 7 | "type": "algorithm", |
| 8 | "benchmark": { |
| 9 | "task": "Predict differential expression for held-out compound–cell type pairs", |
| 10 | "metric": { |
| 11 | "name": "Overall: mean control-scaled metric score (0–1)", |
| 12 | "better": "higher" |
| 13 | }, |
| 14 | "baseline": { |
| 15 | "name": "Best on Open Problems v1.0.0 (NN with pseudolabels)", |
| 16 | "score": 0.465184 |
| 17 | } |
| 18 | }, |
| 19 | "source": { |
| 20 | "key": "openproblems-bio", |
| 21 | "name": "Open Problems in Single-Cell Analysis", |
| 22 | "url": "https://openproblems.bio/benchmarks/perturbation_prediction", |
| 23 | "id": "task_perturbation_prediction", |
| 24 | "curator": "Open Problems in Single-Cell Analysis consortium", |
| 25 | "poser": "Artur Szałata, Robrecht Cannoodt, Daniel Burkhardt et al.", |
| 26 | "status": "open", |
| 27 | "as_of": "2026-10-20", |
| 28 | "catalog": "0521c19bbd38" |
| 29 | }, |
| 30 | "review": true, |
| 31 | "approval": "first-time" |
| 32 | } |