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library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

leecontrol

Control placental clock trained on placentas designated as controls, with known major placental pathology excluded.

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, ["leecontrol"])

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).

https://doi.org/10.18632/aging.102049