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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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| Publicat a: | PLoS Comput Biol |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2018
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| Matèries: | |
| Accés en línia: | 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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