| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # cabec |
|
|
| Common Adult Blood-based EPIC Clock trained on the extended adult whole-blood dataset but restricted to autosomal CpGs shared by the Illumina 450K and EPIC arrays. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | chronological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | whole blood | |
| | **Data type** | DNA methylation | |
| | **Model type** | elastic net regression | |
| | **Year** | 2020 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["cabec"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Lee, Yunsung, et al. "Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array." BMC genomics 21 (2020): 1-13. |
|
|
| https://doi.org/10.1186/s12864-020-07168-8 |
|
|
