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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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