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metadata
license: mit
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - transcriptomics

reg

Baseline chronological-age regression model from the Pasta study, using rank-transformed multi-tissue human expression.

Predicts chronological age
Species Homo sapiens
Tissue multi-tissue
Data type transcriptomics
Model type ridge regression
Year 2025

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Salignon, J. et al. Pasta, a versatile transcriptomic clock, maps the chemical and genetic determinants of aging and rejuvenation. bioRxiv 2025.06.04.657785 (2025).

https://doi.org/10.1101/2025.06.04.657785