metadata
license: mit
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
mayne
Placental elastic-net clock trained on pooled healthy human placenta methylation datasets; 62 selected CpGs predict gestational age and were used to test age acceleration in early-onset preeclampsia.
| Predicts | gestational age |
| Species | Homo sapiens |
| Tissue | placenta |
| Data type | DNA methylation |
| Model type | elastic net regression |
| Year | 2017 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["mayne"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Mayne, Benjamin T., et al. "Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation." Epigenomics 9 (2017): 279–289.