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leerefinedrobust – AI Model by pyaging | AlphaNeural AI
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pyaging
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leerefinedrobust
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pyaging
elastic net regression
aging-clock
biology
dna-methylation
mit
us
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leerefinedrobust
Refined robust placental clock fitted within uncomplicated term pregnancies (gestational age >36 weeks) using the original RPC loci as candidates.
Predicts
gestational age
Species
Homo sapiens
Tissue
placenta
Data type
DNA methylation
Model type
elastic net regression
Year
2019
Use with pyaging
python
1
import
pyaging
as
pya
2
3
pya
.
pred
.
predict_age
(
adata
,
[
"leerefinedrobust"
]
)
Browse every clock in the
pyaging Clock Catalogue
.
Citation
Lee, Y., et al. “Placental epigenetic clocks: estimating gestational age using placental DNA methylation levels.” Aging 11(12): 4238–4253 (2019).
https://doi.org/10.18632/aging.102049
