Download config.json from pyaging/stemtoc: direct link, hf CLI and curl.
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https://huggingface.co/pyaging/stemtoc/resolve/main/config.json
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hf download hf://pyaging/stemtoc/config.json
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curl -L -o config.json https://huggingface.co/pyaging/stemtoc/resolve/main/config.json
1.06 kB
| { | |
| "approved_by_author": "\u2705", | |
| "citation": "Zhu, Tianlei, et al. \"An improved epigenetic counter to track mitotic age in cells.\" Nature Communications 15 (2024): 4211.", | |
| "citations": 29, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "stemtoc", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1038/s41467-024-48649-8", | |
| "journal": "Nature Communications", | |
| "last_author": "Andrew E. Teschendorff", | |
| "model_type": "95th-percentile methylation aggregation", | |
| "n_features": 371, | |
| "notes": "Relative mitotic-age counter based on the 95th percentile across 371 in-vivo-filtered mitotic CpGs.", | |
| "platform": [ | |
| "Illumina 450K", | |
| "Illumina EPIC" | |
| ], | |
| "population": "all ages", | |
| "predicts": [ | |
| "mitotic age" | |
| ], | |
| "preprocess": "0.95 quantile", | |
| "reference_values": true, | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "multi-tissue", | |
| "cultured human cells", | |
| "whole blood" | |
| ], | |
| "training_target": [ | |
| "population doublings", | |
| "chronological age" | |
| ], | |
| "unit": [ | |
| "beta value" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2024 | |
| } |