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pyaging/
sencultureage

Name: sencultureage
Rating: 2.5 (68 reviews)

pyaging

elastic net logistic regression

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sencultureage

Binomial elastic-net classifier of in-vitro cellular senescence, trained after ComBat correction on pooled human fibroblast and mesenchymal-stromal-cell datasets and restricted to direction-concordant senescence/age/mortality CpGs.


Predicts	cellular senescence
Species	Homo sapiens
Tissue	cultured fibroblasts, cultured mesenchymal stromal cells
Data type	DNA methylation
Model type	elastic net logistic regression
Year	2026

Use with pyaging

python

import pyaging as pya

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

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Citation

Kasamoto, K., Gibson, J., Moqri, M., Smith, R. & Higgins-Chen, A.T. DNA methylation signatures of cellular senescence are not reversed by senolytic treatment. Aging Cell 25, e70430 (2026).

https://doi.org/10.1111/acel.70430

pyaging/sencultureage

sencultureage

Use with pyaging

Citation

pyaging/
sencultureage