| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # epitoc3 |
|
|
| Code-defined 170-CpG extension of the dynamic mitotic model. Official EpiMitClocks data show that all 170 sites are a subset of the 371 stemTOC vivo-mitCpGs derived from fetal/neonatal references, six normal proliferating cell lines, and three adult whole-blood cohorts. The assigned 2020 dynamic-model paper does not name or define epiTOC3. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | mitotic age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | cultured primary human cells, whole blood, multi-tissue, cord blood | |
| | **Data type** | DNA methylation | |
| | **Model type** | dynamic methylation transmission model | |
| | **Year** | 2020 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["epitoc3"]) |
| ``` |
|
|
| 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 |
|
|
