Modelpublic

pyaging/grimage

sourceHugging Facemitupdated 1mo agoView on Hugging Face

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Model Card

grimage

Age-calibrated mortality-risk estimator built in two stages from DNAm surrogates for plasma proteins and smoking pack-years, chronological age, and sex.


Predicts	mortality risk
Species	Homo sapiens
Tissue	whole blood
Data type	DNA methylation
Model type	two-stage elastic net + Cox regression
Year	2019

Use with pyaging

python

import pyaging as pya

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

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Citation

Lu, Ake T., et al. "DNA methylation GrimAge strongly predicts lifespan and healthspan." Aging (Albany NY) 11 (2019): 303–327.

https://doi.org/10.18632/aging.101684