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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
|