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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Detalles Bibliográficos
Autores principales: Wang, Haohan, Lengerich, Benjamin J, Aragam, Bryon, Xing, Eric P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449749/
https://www.ncbi.nlm.nih.gov/pubmed/30184048
http://dx.doi.org/10.1093/bioinformatics/bty750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449749/
https://www.ncbi.nlm.nih.gov/pubmed/30184048
http://dx.doi.org/10.1093/bioinformatics/bty750

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