hypoclock

Pyaging returns an inverted HypoClock burden score, 1 minus the mean beta value across 678 solo-WCGW CpGs; higher values therefore indicate deeper PMD hypomethylation. Zhou et al. (2018) is the biological precursor; the named 678-site implementation is from Teschendorff (2020).

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

Predicts	mitotic age
Species	Homo sapiens
Tissue	multi-tissue
Data type	DNA methylation
Model type	mean aggregation
Year	2020

Use with pyaging

import pyaging as pya

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

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