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library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
---
# pcdnamtl
Principal-component proxy trained to reproduce the original DNAmTL clock output; the returned score remains in kilobases. Figure-level base-pair deviations are a separate analysis-scale conversion.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| | |
|---|---|
| **Predicts** | leukocyte telomere length |
| **Species** | Homo sapiens |
| **Tissue** | whole blood |
| **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, ["pcdnamtl"])
```
Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).
## Citation
Higgins-Chen, Albert T., et al. "A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking." Nature Aging 2 (2022): 644–661.
https://doi.org/10.1038/s43587-022-00248-2
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