leerobust
Robust placental clock trained across placentas with and without pregnancy complications and congenital abnormalities.
| 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).
- Downloads last month
- 6
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support