Download config.json from pyaging/intrinclock370: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/pyaging/intrinclock370/resolve/main/config.json
- Command line
-
hf download hf://pyaging/intrinclock370/config.json
-
curl -L -o config.json https://huggingface.co/pyaging/intrinclock370/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": "intrinclock370", | |
| "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": 370, | |
| "notes": "Author-demo IntrinClock at lambda.1se: 370 nonzero CpGs from the original serialized cv.glmnet fit. Predicts chronological age resistant to immune-cell-composition changes. This is a separately fitted regularization column, not the existing 380-CpG lambda.min model with ten sites removed. Returns years using the author's inverse Horvath transform.", | |
| "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": "0.5.4", | |
| "year": 2024 | |
| } |