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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...

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Detalles Bibliográficos
Autores principales: Lu, Xin, Perkins, David L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
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