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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Detalles Bibliográficos
Autores principales: Liu, Jin, Huang, Jian, Ma, Shuangge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143695/
https://www.ncbi.nlm.nih.gov/pubmed/25519343
http://dx.doi.org/10.1186/1753-6561-8-S1-S73

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143695/
https://www.ncbi.nlm.nih.gov/pubmed/25519343
http://dx.doi.org/10.1186/1753-6561-8-S1-S73

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