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Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models

BACKGROUND: Linear mixed-effects models (LMM) are a leading method in conducting genome-wide association studies (GWAS) but require residual maximum likelihood (REML) estimation of variance components, which is computationally demanding. Previous work has reduced the computational burden of variance...

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Detalles Bibliográficos
Autores principales:	Border, Richard, Becker, Stephen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668092/ https://www.ncbi.nlm.nih.gov/pubmed/31362713 http://dx.doi.org/10.1186/s12859-019-2978-z

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