Priors, population sizes, and power in genome-wide hypothesis tests

BACKGROUND: Genome-wide tests, including genome-wide association studies (GWAS) of germ-line genetic variants, driver tests of cancer somatic mutations, and transcriptome-wide association tests of RNAseq data, carry a high multiple testing burden. This burden can be overcome by enrolling larger coho...

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Detalles Bibliográficos
Autores principales: Cai, Jitong, Zhan, Jianan, Arking, Dan E., Bader, Joel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134629/
https://www.ncbi.nlm.nih.gov/pubmed/37101120
http://dx.doi.org/10.1186/s12859-023-05261-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134629/
https://www.ncbi.nlm.nih.gov/pubmed/37101120
http://dx.doi.org/10.1186/s12859-023-05261-9

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