| --- |
| 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 |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["reg"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## 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 |
|
|
