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Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data

MOTIVATION: Association studies to discover links between genetic markers and phenotypes are central to bioinformatics. Methods of regularized regression, such as variants of the Lasso, are popular for this task. Despite the good predictive performance of these methods in the average case, they suff...

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Détails bibliographiques
Publié dans:Bioinformatics
Auteurs principaux: Wang, Haohan, Lengerich, Benjamin J, Aragam, Bryon, Xing, Eric P
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6449749/
https://ncbi.nlm.nih.gov/pubmed/30184048
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty750
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