pyaging / garagnani

huggingface.co
Total runs: 92
24-hour runs: 0
7-day runs: -14
30-day runs: -29
Model's Last Updated: October 02 2026

Introduction of garagnani

Model Details of garagnani

garagnani

The source study identified age-associated ELOVL2 methylation, but did not publish a one-CpG age equation. Pyaging returns the raw cg16867657 methylation beta value using coefficient 1 and zero intercept; it does not return calibrated chronological age.

Predicts ELOVL2 methylation
Species Homo sapiens
Tissue whole blood
Data type DNA methylation
Model type single-CpG score
Year 2012
Use with pyaging
import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue .

Citation

Garagnani, Paolo, et al. "Methylation of ELOVL2 gene as a new epigenetic marker of age." Aging Cell 11.6 (2012): 1132-1134.

https://doi.org/10.1111/acel.12005

Runs of pyaging garagnani on huggingface.co

92
Total runs
0
24-hour runs
-3
3-day runs
-14
7-day runs
-29
30-day runs

More Information About garagnani huggingface.co Model

More garagnani license Visit here:

https://choosealicense.com/licenses/mit

garagnani huggingface.co

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

garagnani huggingface.co Url

https://huggingface.co/pyaging/garagnani

pyaging garagnani online free

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

pyaging garagnani online free url in huggingface.co:

https://huggingface.co/pyaging/garagnani

garagnani install

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

garagnani install url in huggingface.co:

https://huggingface.co/pyaging/garagnani

Url of garagnani

garagnani huggingface.co Url

Provider of garagnani huggingface.co

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