Download config.json from pyaging/meer: direct link, hf CLI and curl.
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https://huggingface.co/pyaging/meer/resolve/main/config.json
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hf download hf://pyaging/meer/config.json
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curl -L -o config.json https://huggingface.co/pyaging/meer/resolve/main/config.json
918 Bytes
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Meer, M. V., Podolskiy, D. I., Tyshkovskiy, A. & Gladyshev, V. N. A whole lifespan mouse multi-tissue DNA methylation clock. eLife 7, e40675 (2018).", | |
| "citations": 203, | |
| "citations_date": "2026-07-05", | |
| "clock_name": "meer", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.7554/elife.40675", | |
| "journal": "eLife", | |
| "last_author": "Vadim N. Gladyshev", | |
| "model_type": "elastic net regression", | |
| "n_features": 435, | |
| "notes": "Whole Lifespan Multi-Tissue (WLMT) mouse clock trained by elastic net on RRBS methylation percentages from untreated wild-type C57BL/6 samples.", | |
| "platform": [ | |
| "RRBS" | |
| ], | |
| "population": "mice", | |
| "predicts": [ | |
| "chronological age" | |
| ], | |
| "research_only": null, | |
| "species": "Mus musculus", | |
| "tissue": [ | |
| "multi-tissue" | |
| ], | |
| "training_target": [ | |
| "chronological age" | |
| ], | |
| "unit": [ | |
| "days" | |
| ], | |
| "version": "0.5.0", | |
| "year": 2018 | |
| } |