metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
leerobust
Robust placental clock trained across placentas with and without pregnancy complications and congenital abnormalities.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | gestational age |
| Species | Homo sapiens |
| Tissue | placenta |
| Data type | DNA methylation |
| Model type | elastic net regression |
| Year | 2019 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["leerobust"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Lee, Y., et al. “Placental epigenetic clocks: estimating gestational age using placental DNA methylation levels.” Aging 11(12): 4238–4253 (2019).