epitoc2

Dynamic methylation-transmission model returning total cumulative stem-cell divisions per stem cell; an intrinsic rate additionally requires chronological age but is not this implementation's returned value.

Predicts	mitotic age
Species	Homo sapiens
Tissue	whole blood
Data type	DNA methylation
Model type	dynamic methylation transmission model
Year	2020

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["epitoc2"])

Browse every clock in the pyaging Clock Catalogue.

Citation

Teschendorff, Andrew E. "A comparison of epigenetic mitotic-like clocks for cancer risk prediction." Genome Medicine 12 (2020): 56.

https://doi.org/10.1186/s13073-020-00752-3