| --- |
| license: other |
| license_name: original-author-license |
| license_link: https://huggingface.co/pyaging/pcbrainage/blob/main/pcbrainage.LICENSE.txt |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # pcbrainage |
|
|
| Brain chronological-age clock trained in dorsolateral prefrontal cortex. The original PCA and regression are composed algebraically without retraining; missing CpGs use the authors’ GSE74193 adult brain means. No age-acceleration residualization is performed. |
|
|
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. See the [original author license](pcbrainage.LICENSE.txt). |
|
|
| | | | |
| |---|---| |
| | **Predicts** | chronological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | brain cortex | |
| | **Data type** | DNA methylation | |
| | **Model type** | PCA + elastic net regression | |
| | **Year** | 2022 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["pcbrainage"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Thrush, K. L., Bennett, D. A., Gaiteri, C., Horvath, S., van Dyck, C. H., Higgins-Chen, A. T., and Levine, M. E. (2022). Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer’s disease. Aging 14(14), 5641–5668. |
|
|
| https://doi.org/10.18632/aging.204196 |
|
|
