Multiple testing correction in linear mixed models

BACKGROUND: Multiple hypothesis testing is a major issue in genome-wide association studies (GWAS), which often analyze millions of markers. The permutation test is considered to be the gold standard in multiple testing correction as it accurately takes into account the correlation structure of the...

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Detalles Bibliográficos
Autores principales: Joo, Jong Wha J., Hormozdiari, Farhad, Han, Buhm, Eskin, Eleazar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818520/
https://www.ncbi.nlm.nih.gov/pubmed/27039378
http://dx.doi.org/10.1186/s13059-016-0903-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818520/
https://www.ncbi.nlm.nih.gov/pubmed/27039378
http://dx.doi.org/10.1186/s13059-016-0903-6

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