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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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| Опубликовано в: : | Bioinformatics |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2019
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| Предметы: | |
| Online-ссылка: | 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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