Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing

Multiple hypothesis testing is an essential component of modern data science. In many settings, in addition to the p-value, additional covariates for each hypothesis are available, e.g., functional annotation of variants in genome-wide association studies. Such information is ignored by popular mult...

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Detalles Bibliográficos
Autores principales: Zhang, Martin J., Xia, Fei, Zou, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668431/
https://www.ncbi.nlm.nih.gov/pubmed/31366926
http://dx.doi.org/10.1038/s41467-019-11247-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668431/
https://www.ncbi.nlm.nih.gov/pubmed/31366926
http://dx.doi.org/10.1038/s41467-019-11247-0

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