A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits.
<h4>Background</h4>DNA methylation (DNAm) provides a window to characterize the impacts of environmental exposures and the biological aging process. Epigenetic clocks are often trained on DNAm using penalized regression of CpG sites, but recent evidence suggests potential benefits of tra...
Saved in:
| Main Authors: | Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-02-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012768 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Influence of race, ethnicity, and sex on the performance of epigenetic predictors of phenotypic traits
by: Dennis Khodasevich, et al.
Published: (2025-04-01) -
Blood transcriptomic associations of epigenetic age in adolescents
by: Dennis Khodasevich, et al.
Published: (2025-12-01) -
A hybrid super learner ensemble for phishing detection on mobile devices
by: Routhu Srinivasa Rao, et al.
Published: (2025-05-01) -
Exclusive Association of p53 Mutation with Super-High Methylation of Tumor Suppressor Genes in the p53 Pathway in a Unique Gastric Cancer Phenotype.
by: Mina Waraya, et al.
Published: (2015-01-01) -
A 3D Surface Reconstruction Pipeline for Plant Phenotyping
by: Lina Stausberg, et al.
Published: (2024-12-01)