| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - transcriptomics | |
| # pasta | |
| Human Pasta age-shift classifier on within-sample rank-transformed expression. Its classifier score is rescaled to a relative age difference on a human-year axis; it is not an absolute chronological-age prediction. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | transcriptomic age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | multi-tissue | | |
| | **Data type** | transcriptomics | | |
| | **Model type** | ridge logistic regression | | |
| | **Year** | 2026 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["pasta"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Salignon, J., et al. (2026). Pasta, a versatile transcriptomic clock, maps the chemical and genetic determinants of aging and rejuvenation. Advanced Science, e76740. | |
| https://doi.org/10.1002/advs.76740 | |