pyaging / ensembleagestatic

huggingface.co
Total runs: 16
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Model's Last Updated: October 02 2026

Introduction of ensembleagestatic

Model Details of ensembleagestatic

ensembleagestatic

Single elastic-net static predictor of the median EnsembleAge.Dynamic calibrated age, trained on perturbed MethylGauge mice.

Predicts intervention-responsive epigenetic age
Species Mus musculus
Tissue multi-tissue
Data type DNA methylation
Model type elastic net regression
Year 2025
Use with pyaging
import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue .

Citation

Haghani, A. et al. EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework. GeroScience 48, 2873-2886 (2025).

https://doi.org/10.1007/s11357-025-01808-1

Runs of pyaging ensembleagestatic on huggingface.co

16
Total runs
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24-hour runs
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3-day runs
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7-day runs
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30-day runs

More Information About ensembleagestatic huggingface.co Model

More ensembleagestatic license Visit here:

https://choosealicense.com/licenses/mit

ensembleagestatic huggingface.co

ensembleagestatic huggingface.co is an AI model on huggingface.co that provides ensembleagestatic's model effect (), which can be used instantly with this pyaging ensembleagestatic model. huggingface.co supports a free trial of the ensembleagestatic model, and also provides paid use of the ensembleagestatic. Support call ensembleagestatic model through api, including Node.js, Python, http.

ensembleagestatic huggingface.co Url

https://huggingface.co/pyaging/ensembleagestatic

pyaging ensembleagestatic online free

ensembleagestatic huggingface.co is an online trial and call api platform, which integrates ensembleagestatic's modeling effects, including api services, and provides a free online trial of ensembleagestatic, you can try ensembleagestatic online for free by clicking the link below.

pyaging ensembleagestatic online free url in huggingface.co:

https://huggingface.co/pyaging/ensembleagestatic

ensembleagestatic install

ensembleagestatic is an open source model from GitHub that offers a free installation service, and any user can find ensembleagestatic on GitHub to install. At the same time, huggingface.co provides the effect of ensembleagestatic install, users can directly use ensembleagestatic installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ensembleagestatic install url in huggingface.co:

https://huggingface.co/pyaging/ensembleagestatic

Url of ensembleagestatic

ensembleagestatic huggingface.co Url

Provider of ensembleagestatic huggingface.co

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