Download config.json from pyaging/zhangblup: direct link, hf CLI and curl.
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- Download file 1.09 kB
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https://huggingface.co/pyaging/zhangblup/resolve/main/config.json
- Command line
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hf download hf://pyaging/zhangblup/config.json
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curl -L -o config.json https://huggingface.co/pyaging/zhangblup/resolve/main/config.json
1.09 kB
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Zhang, Q., Vallerga, C.L., Walker, R.M. et al. Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Medicine 11, 54 (2019).", | |
| "citations": 519, | |
| "citations_date": "2026-07-05", | |
| "clock_name": "zhangblup", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1186/s13073-019-0667-1", | |
| "journal": "Genome Medicine", | |
| "last_author": "Peter M. Visscher", | |
| "model_type": "best linear unbiased prediction", | |
| "n_features": 319607, | |
| "notes": "High-dimensional chronological-age predictor using best linear unbiased prediction across the full quality-controlled set of 319,607 methylation probes.", | |
| "platform": [ | |
| "Illumina 450K", | |
| "Illumina EPIC" | |
| ], | |
| "population": "all ages", | |
| "predicts": [ | |
| "chronological age" | |
| ], | |
| "preprocess": "scale_row", | |
| "reference_values": true, | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "whole blood", | |
| "saliva" | |
| ], | |
| "training_target": [ | |
| "chronological age" | |
| ], | |
| "unit": [ | |
| "years" | |
| ], | |
| "version": "0.5.0", | |
| "year": 2019 | |
| } |