epicmithypo

Hypomethylation component of epiCMIT: a 1,164-CpG score ranging from 0 to 1 that tracks low-to-high relative proliferative history in normal and neoplastic B cells.

Predicts mitotic age
Species Homo sapiens
Tissue B cells
Data type DNA methylation
Model type complement of mean methylation
Year 2020

Use with pyaging

import pyaging as pya

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

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

Downloads last month
68
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support