| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # ensembleagehumanmouse | |
| Cross-species static EnsembleAge model trained on merged human and mouse methylation data; age is normalized by species maximum lifespan. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | relative age | | |
| | **Species** | Homo sapiens and Mus musculus | | |
| | **Tissue** | multi-tissue, whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2025 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["ensembleagehumanmouse"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Haghani, A. et al. EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework. GeroScience 48, 2873-2886 (2025). | |
| https://doi.org/10.1007/s11357-025-01808-1 | |