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...
Main Authors: | Gibbons, Sean Michael, Duvallet, Claire, Alm, Eric J |
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Other Authors: | Massachusetts Institute of Technology. Department of Biological Engineering |
Format: | Article |
Published: |
Public Library of Science (PLoS)
2018
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Online Access: | http://hdl.handle.net/1721.1/117510 https://orcid.org/0000-0002-8093-8394 https://orcid.org/0000-0001-8294-9364 |
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