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compil6 – AI Model by pyaging | AlphaNeural AI | AlphaNeural AI
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compil6
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pyaging
elastic net regression
aging-clock
biology
dna-methylation
mit
us
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compil6
Thirty-five-CpG whole-blood proxy score for persistent IL-6-related inflammatory burden, fitted against covariate-adjusted normalized plasma IL-6.
Predicts
interleukin-6
Species
Homo sapiens
Tissue
whole blood
Data type
DNA methylation
Model type
elastic net regression
Year
2021
Use with pyaging
python
1
import
pyaging
as
pya
2
3
pya
.
pred
.
predict_age
(
adata
,
[
"compil6"
]
)
Browse every clock in the
pyaging Clock Catalogue
.
Citation
Stevenson, A. J., et al. “Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6.” The Journals of Gerontology: Series A 76(12): 2284–2292 (2021).
https://doi.org/10.1093/gerona/glab046
