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Multikernel linear mixed model with adaptive lasso for complex phenotype prediction
Linear mixed models (LMMs) and their extensions have been widely used for high-dimensional genomic data analyses. While LMMs hold great promise for risk prediction research, the high dimensionality of the data and different effect sizes of genomic regions bring great analytical and computational cha...
Tallennettuna:
| Julkaisussa: | Stat Med |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8082466/ https://ncbi.nlm.nih.gov/pubmed/31985088 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8477 |
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