Download config.json from pyaging/dnamic: direct link, hf CLI and curl.
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https://huggingface.co/pyaging/dnamic/resolve/main/config.json
- Command line
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hf download hf://pyaging/dnamic/config.json
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curl -L -o config.json https://huggingface.co/pyaging/dnamic/resolve/main/config.json
1.15 kB
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Fuentealba, M., Rouch, L., Guyonnet, S. et al. A blood-based epigenetic clock for intrinsic capacity predicts mortality and is associated with clinical, immunological and lifestyle factors. Nature Aging 5, 1207\u20131216 (2025).", | |
| "citations": 45, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "dnamic", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1038/s43587-025-00883-5", | |
| "journal": "Nature Aging", | |
| "last_author": "David Furman", | |
| "model_type": "elastic net regression", | |
| "n_features": 91, | |
| "notes": "Whole-blood DNA-methylation predictor of intrinsic capacity, an average score across cognition, locomotion, psychological, sensory, and vitality domains; trained with tenfold cross-validated elastic net on INSPIRE-T and returning higher values for better capacity.", | |
| "platform": [ | |
| "Illumina EPIC" | |
| ], | |
| "population": "older adults", | |
| "predicts": [ | |
| "intrinsic capacity" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "whole blood" | |
| ], | |
| "training_target": [ | |
| "intrinsic capacity" | |
| ], | |
| "unit": [ | |
| "unitless" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2025 | |
| } |