| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # hypoclock |
|
|
| Pyaging returns an inverted HypoClock burden score, 1 minus the mean beta value across 678 solo-WCGW CpGs; higher values therefore indicate deeper PMD hypomethylation. The assigned 2018 paper is the biological precursor, while the named 678-site implementation is from 2020. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | mitotic age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | multi-tissue | |
| | **Data type** | DNA methylation | |
| | **Model type** | mean aggregation | |
| | **Year** | 2020 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["hypoclock"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Teschendorff, Andrew E. "A comparison of epigenetic mitotic-like clocks for cancer risk prediction." Genome Medicine 12 (2020): 56. |
|
|
| https://doi.org/10.1186/s13073-020-00752-3 |
|
|
