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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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書目詳細資料
發表在:Bioinformatics
Main Authors: Wang, Haohan, Lengerich, Benjamin J, Aragam, Bryon, Xing, Eric P
格式: Artigo
語言:Inglês
出版: Oxford University Press 2019
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在線閱讀: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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