---
license: other
license_name: original-author-license
license_link: https://huggingface.co/pyaging/pcbrainage/blob/main/pcbrainage.LICENSE.txt
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
---

# pcbrainage

Brain chronological-age clock trained in dorsolateral prefrontal cortex. The original PCA and regression are composed algebraically without retraining; missing CpGs use the authors’ GSE74193 adult brain means. No age-acceleration residualization is performed.

Model weights retain the original authors' terms; the pyaging software license does not relicense them. See the [original author license](pcbrainage.LICENSE.txt).

| | |
|---|---|
| **Predicts** | chronological age |
| **Species** | Homo sapiens |
| **Tissue** | brain cortex |
| **Data type** | DNA methylation |
| **Model type** | PCA + elastic net regression |
| **Year** | 2022 |

## Use with pyaging

```python
import pyaging as pya

pya.pred.predict_age(adata, ["pcbrainage"])
```

Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).

## Citation

Thrush, K. L., Bennett, D. A., Gaiteri, C., Horvath, S., van Dyck, C. H., Higgins-Chen, A. T., and Levine, M. E. (2022). Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer’s disease. Aging 14(14), 5641–5668.

https://doi.org/10.18632/aging.204196