Download config.json from pyaging/epicmithyper: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/pyaging/epicmithyper/resolve/main/config.json
- Command line
-
hf download hf://pyaging/epicmithyper/config.json
-
curl -L -o config.json https://huggingface.co/pyaging/epicmithyper/resolve/main/config.json
1.09 kB
| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Duran-Ferrer, M., et al. \"The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome.\" Nature Cancer 1 (2020): 1066-1081.", | |
| "citations": 109, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "epicmithyper", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1038/s43018-020-00131-2", | |
| "journal": "Nature Cancer", | |
| "last_author": "Jos\u00e9 I. Mart\u00edn-Subero", | |
| "model_type": "mean methylation aggregation", | |
| "n_features": 184, | |
| "notes": "Hypermethylation component of epiCMIT: a 184-CpG score ranging from 0 to 1 that tracks low-to-high relative proliferative history in normal and neoplastic B cells.", | |
| "platform": [ | |
| "Illumina 450K", | |
| "Illumina EPIC" | |
| ], | |
| "population": "human, age unspecified", | |
| "predicts": [ | |
| "mitotic age" | |
| ], | |
| "preprocess": "mean", | |
| "reference_values": true, | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "B cells" | |
| ], | |
| "training_target": [ | |
| "replicative history" | |
| ], | |
| "unit": [ | |
| "proportion" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2020 | |
| } |