A general framework for powerful confounder adjustment in omics association studies

MOTIVATION: Genomic data are subject to various sources of confounding, such as demographic variables, biological heterogeneity, and batch effects. To identify genomic features associated with a variable of interest in the presence of confounders, the traditional approach involves fitting a confound...

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Detalles Bibliográficos
Autores principales: Roy, Asmita, Chen, Jun, Zhang, Xianyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539716/
https://www.ncbi.nlm.nih.gov/pubmed/37688561
http://dx.doi.org/10.1093/bioinformatics/btad563

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539716/
https://www.ncbi.nlm.nih.gov/pubmed/37688561
http://dx.doi.org/10.1093/bioinformatics/btad563

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