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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...
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| Vydáno v: | Nat Methods |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4930141/ https://ncbi.nlm.nih.gov/pubmed/27240256 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nmeth.3885 |
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