Data-driven hypothesis weighting increases detection power in genome-scale multiple testing

Hypothesis weighting improves the power of large-scale multiple testing. We describe a method that uses covariates independent of the p-values under the null hypothesis, but informative of each test’s power or prior probability of the null hypothesis. Independent hypothesis weighting (IHW) increases...

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Detalles Bibliográficos
Autores principales: Ignatiadis, Nikolaos, Klaus, Bernd, Zaugg, Judith, Huber, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930141/
https://www.ncbi.nlm.nih.gov/pubmed/27240256
http://dx.doi.org/10.1038/nmeth.3885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930141/
https://www.ncbi.nlm.nih.gov/pubmed/27240256
http://dx.doi.org/10.1038/nmeth.3885

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