The performance of a new local false discovery rate method on tests of association between coronary artery disease (CAD) and genome-wide genetic variants

The maximum entropy (ME) method is a recently-developed approach for estimating local false discovery rates (LFDR) that incorporates external information allowing assignment of a subset of tests to a category with a different prior probability of following the null hypothesis. Using this ME method,...

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Detalles Bibliográficos
Autores principales: Mei, Shuyan, Karimnezhad, Ali, Forest, Marie, Bickel, David R., Greenwood, Celia M. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607215/
https://www.ncbi.nlm.nih.gov/pubmed/28931044
http://dx.doi.org/10.1371/journal.pone.0185174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607215/
https://www.ncbi.nlm.nih.gov/pubmed/28931044
http://dx.doi.org/10.1371/journal.pone.0185174

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