Download config.json from pyaging/retroelementagev2: direct link, hf CLI and curl.
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https://huggingface.co/pyaging/retroelementagev2/resolve/main/config.json
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curl -L -o config.json https://huggingface.co/pyaging/retroelementagev2/resolve/main/config.json
987 Bytes
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Ndhlovu, Lishomwa C., et al. \"Retro-age: A unique epigenetic biomarker of aging captured by DNA methylation states of retroelements.\" Aging Cell 23 (2024): e14288.", | |
| "citations": 31, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "retroelementagev2", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1111/acel.14288", | |
| "journal": "Aging Cell", | |
| "last_author": "Michael J. Corley", | |
| "model_type": "elastic net regression", | |
| "n_features": 1378, | |
| "notes": "Composite Retroelement-Age V2 extends the retroelement annotation to CpGs compatible across EPIC v1.0 and v2.0 and was trained by 10-fold-cross-validated elastic net.", | |
| "platform": [ | |
| "Illumina EPIC" | |
| ], | |
| "population": "all ages", | |
| "predicts": [ | |
| "chronological age" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "whole blood" | |
| ], | |
| "training_target": [ | |
| "chronological age" | |
| ], | |
| "unit": [ | |
| "years" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2024 | |
| } |