An anchored experimental design and meta-analysis approach to address batch effects in large-scale metabolomics

Untargeted metabolomics studies are unbiased but identifying the same feature across studies is complicated by environmental variation, batch effects, and instrument variability. Ideally, several studies that assay the same set of metabolic features would be used to select recurring features to purs...

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Detalles Bibliográficos
Autores principales: Shaver, Amanda O., Garcia, Brianna M., Gouveia, Goncalo J., Morse, Alison M., Liu, Zihao, Asef, Carter K., Borges, Ricardo M., Leach, Franklin E., Andersen, Erik C., Amster, I. Jonathan, Fernández, Facundo M., Edison, Arthur S., McIntyre, Lauren M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682135/
https://www.ncbi.nlm.nih.gov/pubmed/36438654
http://dx.doi.org/10.3389/fmolb.2022.930204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682135/
https://www.ncbi.nlm.nih.gov/pubmed/36438654
http://dx.doi.org/10.3389/fmolb.2022.930204

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