| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # horvath2013 | |
| Pan-tissue DNAm-age predictor fitted by elastic net to a transformed chronological-age outcome and returned to the year scale; it uses 353 CpGs shared between the 27K and 450K arrays. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | chronological age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | multi-tissue | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2013 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["horvath2013"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Horvath, S. DNA methylation age of human tissues and cell types. Genome Biology 14, R115 (2013). | |
| https://doi.org/10.1186/gb-2013-14-10-r115 | |