| --- |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # intrinclock370 |
|
|
| Author-demo IntrinClock at lambda.1se: 370 nonzero CpGs from the original serialized cv.glmnet fit. Predicts chronological age resistant to immune-cell-composition changes. This is a separately fitted regularization column, not the existing 380-CpG lambda.min model with ten sites removed. Returns years using the author's inverse Horvath transform. |
|
|
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | chronological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | multi-tissue | |
| | **Data type** | DNA methylation | |
| | **Model type** | two-stage elastic net regression | |
| | **Year** | 2024 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["intrinclock370"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Tomusiak, A., et al. “Development of an epigenetic clock resistant to changes in immune cell composition.” Communications Biology 7, 934 (2024). |
|
|
| https://doi.org/10.1038/s42003-024-06609-4 |
|
|
