A practical guide to methods controlling false discoveries in computational biology

BACKGROUND: In high-throughput studies, hundreds to millions of hypotheses are typically tested. Statistical methods that control the false discovery rate (FDR) have emerged as popular and powerful tools for error rate control. While classic FDR methods use only p values as input, more modern FDR me...

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Detalles Bibliográficos
Autores principales: Korthauer, Keegan, Kimes, Patrick K., Duvallet, Claire, Reyes, Alejandro, Subramanian, Ayshwarya, Teng, Mingxiang, Shukla, Chinmay, Alm, Eric J., Hicks, Stephanie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547503/
https://www.ncbi.nlm.nih.gov/pubmed/31164141
http://dx.doi.org/10.1186/s13059-019-1716-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547503/
https://www.ncbi.nlm.nih.gov/pubmed/31164141
http://dx.doi.org/10.1186/s13059-019-1716-1

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