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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2016
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| Materias: | |
| 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 |