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Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
BACKGROUND: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff between controlling FDR and maximizing power. Several methods have been proposed, such as the q-value method, to estimate t...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1890303/ https://www.ncbi.nlm.nih.gov/pubmed/17509157 http://dx.doi.org/10.1186/1471-2105-8-157 |