Download config.json from pyaging/intrinclock: direct link, hf CLI and curl.
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hf download hf://pyaging/intrinclock/config.json
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curl -L -o config.json https://huggingface.co/pyaging/intrinclock/resolve/main/config.json
1.23 kB
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Tomusiak, A., et al. \u201cDevelopment of an epigenetic clock resistant to changes in immune cell composition.\u201d Communications Biology 7, 934 (2024).", | |
| "citations": 64, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "intrinclock", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1038/s42003-024-06609-4", | |
| "journal": "Communications Biology", | |
| "last_author": "Eric Verdin", | |
| "model_type": "two-stage elastic net regression", | |
| "n_features": 380, | |
| "notes": "Multi-tissue chronological-age clock designed by excluding CpGs associated with CD8+ T-cell differentiation, then fitting two sequential elastic-net models so predictions remain stable across immune-cell composition. The article reports 381 CpGs; the official lambda.min model and this implementation both use the same 380 non-zero CpG inputs.", | |
| "platform": [ | |
| "Illumina 450K", | |
| "Illumina EPIC" | |
| ], | |
| "population": "all ages", | |
| "postprocess": "anti_log_linear", | |
| "predicts": [ | |
| "chronological age" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "multi-tissue" | |
| ], | |
| "training_target": [ | |
| "chronological age" | |
| ], | |
| "unit": [ | |
| "years" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2024 | |
| } |