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Correcting for batch effects in case-control microbiome studies
High-throughput data generation platforms, like mass-spectrometry, microarrays, and second-generation sequencing are susceptible to batch effects due to run-to-run variation in reagents, equipment, protocols, or personnel. Currently, batch correction methods are not commonly applied to microbiome se...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5940237/ https://ncbi.nlm.nih.gov/pubmed/29684016 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006102 |
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