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"])
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 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:
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.