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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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| Gepubliceerd in: | Genome Biol |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4818520/ https://ncbi.nlm.nih.gov/pubmed/27039378 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-016-0903-6 |
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