metadata
license: mit
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
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.