Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study

In genome-wide studies, hundreds of thousands of hypothesis tests are performed simultaneously. Bonferroni correction and False Discovery Rate (FDR) can effectively control type I error but often yield a high false negative rate. We aim to develop a more powerful method to detect differentially expr...

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Detalles Bibliográficos
Autores principales: Gui, Jiang, Greene, Casey S., Sullivan, Con, Taylor, Walter, Moore, Jason H., Kim, Carol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474579/
https://www.ncbi.nlm.nih.gov/pubmed/26097506
http://dx.doi.org/10.1186/s13040-015-0050-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474579/
https://www.ncbi.nlm.nih.gov/pubmed/26097506
http://dx.doi.org/10.1186/s13040-015-0050-8

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