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PLSDA-batch: a multivariate framework to correct for batch effects in microbiome data
Microbial communities are highly dynamic and sensitive to changes in the environment. Thus, microbiome data are highly susceptible to batch effects, defined as sources of unwanted variation that are not related to and obscure any factors of interest. Existing batch effect correction methods have bee...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025448/ https://www.ncbi.nlm.nih.gov/pubmed/36653900 http://dx.doi.org/10.1093/bib/bbac622 |