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

# epicmithyper

Hypermethylation component of epiCMIT: a 184-CpG score ranging from 0 to 1 that tracks low-to-high relative proliferative history in normal and neoplastic B cells.

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

| | |
|---|---|
| **Predicts** | mitotic age |
| **Species** | Homo sapiens |
| **Tissue** | B cells |
| **Data type** | DNA methylation |
| **Model type** | mean methylation aggregation |
| **Year** | 2020 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Duran-Ferrer, M., et al. "The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome." Nature Cancer 1 (2020): 1066-1081.

https://doi.org/10.1038/s43018-020-00131-2