Leveraging biological and statistical covariates improves the detection power in epigenome-wide association testing

BACKGROUND: Epigenome-wide association studies (EWAS), which seek the association between epigenetic marks and an outcome or exposure, involve multiple hypothesis testing. False discovery rate (FDR) control has been widely used for multiple testing correction. However, traditional FDR control method...

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Detalles Bibliográficos
Autores principales: Huang, Jinyan, Bai, Ling, Cui, Bowen, Wu, Liang, Wang, Liwen, An, Zhiyin, Ruan, Shulin, Yu, Yue, Zhang, Xianyang, Chen, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132874/
https://www.ncbi.nlm.nih.gov/pubmed/32252795
http://dx.doi.org/10.1186/s13059-020-02001-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132874/
https://www.ncbi.nlm.nih.gov/pubmed/32252795
http://dx.doi.org/10.1186/s13059-020-02001-7

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