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

Internet

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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