| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - chromatin-accessibility | |
| # ocampoatac2 | |
| Alternate packaged implementation loaded from the authors' GitHub final_coefs.tsv; it represents the same uncorrected final ATAC-clock target, not a deployable cell-composition-corrected clock. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | chronological age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | peripheral blood mononuclear cells | | |
| | **Data type** | chromatin accessibility | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2023 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["ocampoatac2"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Morandini, F., Rechsteiner, C., Perez, K., et al. “ATAC-clock: An aging clock based on chromatin accessibility.” GeroScience 46(2), 1789–1806 (2024). | |
| https://doi.org/10.1007/s11357-023-00986-0 | |