Download config.json from pyaging/stocp: direct link, hf CLI and curl.
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| { | |
| "approved_by_author": "\u2705", | |
| "citation": "Tong, Huige, et al. \"Quantifying the stochastic component of epigenetic aging.\" Nature Aging 4 (2024): 886\u2013901.", | |
| "citations": 66, | |
| "citations_date": "2026-07-05", | |
| "clock_name": "stocp", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1038/s43587-024-00600-8", | |
| "journal": "Nature Aging", | |
| "last_author": "Andrew E. Teschendorff", | |
| "model_type": "elastic net regression", | |
| "n_features": 513, | |
| "notes": "Stochastic chronological-age clock built from simulated methylation trajectories at PhenoAge CpGs; despite its CpG source, its fitted outcome and returned construct are chronological age, not PhenoAge.", | |
| "platform": [ | |
| "Illumina 450K" | |
| ], | |
| "population": "adults", | |
| "predicts": [ | |
| "chronological age" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "sorted monocytes" | |
| ], | |
| "training_target": [ | |
| "chronological age" | |
| ], | |
| "unit": [ | |
| "years" | |
| ], | |
| "version": "0.5.0", | |
| "year": 2024 | |
| } |