| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # pipekelasticnet |
|
|
| Pan-tissue, cross-platform elastic-net chronological-age clock trained on all eligible CpGs; 239 CpGs retained non-zero coefficients. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | chronological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | multi-tissue | |
| | **Data type** | DNA methylation | |
| | **Model type** | elastic net regression | |
| | **Year** | 2022 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["pipekelasticnet"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Pipek, Orsolya Anna, and István Csabai. "A revised multi-tissue, multi-platform epigenetic clock model for methylation array data." Journal of Mathematical Chemistry 61 (2023): 376–388. |
|
|
| https://doi.org/10.1007/s10910-022-01381-4 |
|
|
