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Penalized multivariate linear mixed model for longitudinal genome-wide association studies
We consider analysis of Genetic Analysis Workshop 18 data, which involves multiple longitudinal traits and dense genome-wide single-nucleotide polymorphism (SNP) markers. We use a multivariate linear mixed model to account for the covariance of random effects and multivariate residuals. We divide th...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4143695/ https://ncbi.nlm.nih.gov/pubmed/25519343 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-8-S1-S73 |
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