| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # lin |
|
|
| Whole-blood 99-CpG multivariate age estimator trained to predict chronological age; age acceleration from the model was secondarily tested for association with all-cause mortality. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | chronological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | whole blood | |
| | **Data type** | DNA methylation | |
| | **Model type** | linear regression | |
| | **Year** | 2016 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["lin"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Lin, Q., et al. “DNA methylation levels at individual age-associated CpG sites can be indicative for life expectancy.” Aging 8(2): 394–401 (2016). |
|
|
| https://doi.org/10.18632/aging.100908 |
|
|
