epicmithyper / README.md
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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

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

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