Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

Abstract Background Artificial gut models provide unique opportunities to study human-associated microbiota. Outstanding questions for these models’ fundamental biology include the timescales on which microbiota vary and the factors that drive such change. Answering these questions though requires o...

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Bibliographic Details
Main Authors: Justin D. Silverman, Heather K. Durand, Rachael J. Bloom, Sayan Mukherjee, Lawrence A. David
Format: Article
Language:English
Published: BMC 2018-11-01
Series:Microbiome
Subjects:
Artificial gut
Bioreactor
Microbiome
Metagenomics
Compositional data
Bayesian statistics
Online Access:http://link.springer.com/article/10.1186/s40168-018-0584-3

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http://link.springer.com/article/10.1186/s40168-018-0584-3

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