| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # hepatoxu | |
| Ten-marker plasma cfDNA methylation logistic model producing the combined HCC diagnosis score (cd-score); this packaged model does not implement the separate eight-marker prognosis score. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | hepatocellular carcinoma | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | plasma cell-free DNA | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | feature-selected logistic regression | | |
| | **Year** | 2017 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["hepatoxu"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Xu, R.-H., et al. “Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma.” Nature Materials 16: 1155–1161 (2017). | |
| https://doi.org/10.1038/nmat4997 | |