Download config.json from pyaging/cellpopage: direct link, hf CLI and curl.
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https://huggingface.co/pyaging/cellpopage/resolve/main/config.json
- Command line
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hf download hf://pyaging/cellpopage/config.json
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curl -L -o config.json https://huggingface.co/pyaging/cellpopage/resolve/main/config.json
1.06 kB
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Lujan, Celia, et al. \"An expedited screening platform for the discovery of anti-ageing compounds in vitro and in vivo.\" Genome Medicine 16 (2024): 85.", | |
| "citations": 7, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "cellpopage", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1186/s13073-024-01349-w", | |
| "journal": "Genome Medicine", | |
| "last_author": "Ivana Bjedov", | |
| "model_type": "elastic net regression", | |
| "n_features": 42, | |
| "notes": "CellPopAge is an elastic-net DNA-methylation clock using 42 selected CpGs to predict passage-based age of serially cultured adult primary human fibroblast populations and screen compounds that decelerate this measure.", | |
| "platform": [ | |
| "Illumina EPIC" | |
| ], | |
| "population": "human cell cultures", | |
| "predicts": [ | |
| "cell-population passage age" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "cultured fibroblasts" | |
| ], | |
| "training_target": [ | |
| "cell passage number" | |
| ], | |
| "unit": [ | |
| "passages" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2024 | |
| } |