---
license: mit
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
---

# zhangblup

High-dimensional chronological-age predictor using best linear unbiased prediction across the full quality-controlled set of 319,607 methylation probes.

| | |
|---|---|
| **Predicts** | chronological age |
| **Species** | Homo sapiens |
| **Tissue** | whole blood, saliva |
| **Data type** | DNA methylation |
| **Model type** | best linear unbiased prediction |
| **Year** | 2019 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Zhang, Q., Vallerga, C.L., Walker, R.M. et al. Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Medicine 11, 54 (2019).

https://doi.org/10.1186/s13073-019-0667-1