| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # vidalbralo | |
| Eight-CpG whole-blood chronological-age estimator selected by forward stepwise regression in 390 adults and calibrated by multiple linear regression; CpGs were chosen for compatibility with a single multiplex MS-SNuPE assay. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **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, ["vidalbralo"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Vidal-Bralo, Laura, Yolanda Lopez-Golan, and Antonio Gonzalez. "Simplified assay for epigenetic age estimation in whole blood of adults." Frontiers in Genetics 7 (2016): 126. | |
| https://doi.org/10.3389/fgene.2016.00126 | |