MultiBaC: an R package to remove batch effects in multi-omic experiments

MOTIVATION: Batch effects in omics datasets are usually a source of technical noise that masks the biological signal and hampers data analysis. Batch effect removal has been widely addressed for individual omics technologies. However, multi-omic datasets may combine data obtained in different batche...

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Detalles Bibliográficos
Autores principales: Ugidos, Manuel, Nueda, María José, Prats-Montalbán, José M, Ferrer, Alberto, Conesa, Ana, Tarazona, Sonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048667/
https://www.ncbi.nlm.nih.gov/pubmed/35238331
http://dx.doi.org/10.1093/bioinformatics/btac132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048667/
https://www.ncbi.nlm.nih.gov/pubmed/35238331
http://dx.doi.org/10.1093/bioinformatics/btac132

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