| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # cellpopage | |
| CellPopAge is an elastic-net DNA-methylation clock using 42 selected CpGs to predict passage-based age of serially cultured adult primary human fibroblast populations and screen compounds that decelerate this measure. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | cell-population passage age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | cultured fibroblasts | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2024 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["cellpopage"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Lujan, Celia, et al. "An expedited screening platform for the discovery of anti-ageing compounds in vitro and in vivo." Genome Medicine 16 (2024): 85. | |
| https://doi.org/10.1186/s13073-024-01349-w | |