metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
epitoc3
Code-defined 170-CpG extension of the dynamic mitotic model. Official EpiMitClocks data show that all 170 sites are a subset of the 371 stemTOC vivo-mitCpGs derived from fetal/neonatal references, six normal proliferating cell lines, and three adult whole-blood cohorts. The assigned 2020 dynamic-model paper does not name or define epiTOC3.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | mitotic age |
| Species | Homo sapiens |
| Tissue | cultured primary human cells, whole blood, multi-tissue, cord 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, ["epitoc3"])
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.