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.

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

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.

https://doi.org/10.2217/epi-2016-0103