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

# deconvolutebloodepiccd4tcell

Reference-based constrained deconvolution returning the CD4+ T cell proportion from EPIC-array blood methylation. Pyaging uses the paper's automatic 600-CpG top-hypermethylated/top-hypomethylated reference, not the paper's preferred 450-CpG EPIC IDOL library.

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

| | |
|---|---|
| **Predicts** | CD4+ T cell proportion |
| **Species** | Homo sapiens |
| **Tissue** | purified blood leukocytes |
| **Data type** | DNA methylation |
| **Model type** | reference-based constrained deconvolution |
| **Year** | 2018 |

## Use with pyaging

```python
import pyaging as pya

pya.pred.predict_age(adata, ["deconvolutebloodepiccd4tcell"])
```

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

## Citation

Salas, L.A., Koestler, D.C., Butler, R.A. et al. An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray. Genome Biology 19, 64 (2018).

https://doi.org/10.1186/s13059-018-1448-7