EAMA: Empirically adjusted meta-analysis for large-scale simultaneous hypothesis testing in genomic experiments

Recent developments in high throughput genomic assays have opened up the possibility of testing hundreds and thousands of genes simultaneously. However, adhering to the regular statistical assumptions regarding the null distributions of test statistics in such large-scale multiple testing frameworks...

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Detalles Bibliográficos
Autores principales: Sikdar, Sinjini, Datta, Somnath, Datta, Susmita
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/PMC5663489/
https://www.ncbi.nlm.nih.gov/pubmed/29088275
http://dx.doi.org/10.1371/journal.pone.0187287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663489/
https://www.ncbi.nlm.nih.gov/pubmed/29088275
http://dx.doi.org/10.1371/journal.pone.0187287

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