Download config.json from pyaging/ensembleagestatic: direct link, hf CLI and curl.
- Browser
- Download file 999 Bytes
-
https://huggingface.co/pyaging/ensembleagestatic/resolve/main/config.json
- Command line
-
hf download hf://pyaging/ensembleagestatic/config.json
-
curl -L -o config.json https://huggingface.co/pyaging/ensembleagestatic/resolve/main/config.json
999 Bytes
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Haghani, A. et al. EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework. GeroScience 48, 2873-2886 (2025).", | |
| "citations": 5, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "ensembleagestatic", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1007/s11357-025-01808-1", | |
| "journal": "GeroScience", | |
| "last_author": "Steve Horvath", | |
| "model_type": "elastic net regression", | |
| "n_features": 288, | |
| "notes": "Single elastic-net static predictor of the median EnsembleAge.Dynamic calibrated age, trained on perturbed MethylGauge mice.", | |
| "platform": [ | |
| "Horvath MammalMethylChip40", | |
| "Horvath MammalMethylChip320" | |
| ], | |
| "population": "mice", | |
| "predicts": [ | |
| "intervention-responsive epigenetic age" | |
| ], | |
| "research_only": null, | |
| "species": "Mus musculus", | |
| "tissue": [ | |
| "multi-tissue" | |
| ], | |
| "training_target": [ | |
| "intervention-responsive epigenetic age" | |
| ], | |
| "unit": [ | |
| "years" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2025 | |
| } |