stemtocvitro / README.md
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metadata
license: mit
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

stemtocvitro

In-vitro precursor of stemTOC based on the 95th percentile across 629 population-doubling-associated CpGs.

Predicts mitotic age
Species Homo sapiens
Tissue multi-tissue, cultured human cells
Data type DNA methylation
Model type 95th-percentile methylation aggregation
Year 2024

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Zhu, Tianlei, et al. "An improved epigenetic counter to track mitotic age in cells." Nature Communications 15 (2024): 4211.

https://doi.org/10.1038/s41467-024-48649-8