Measuring associations between the microbiota and repeated measures of continuous clinical variables using a lasso-penalized generalized linear mixed model

Measuring associations between the microbiota and repeated measures of continuous clinical variables using a lasso-penalized generalized linear mixed model

Abstract Background Human microbiome studies in clinical settings generally focus on distinguishing the microbiota in health from that in disease at a specific point in time. However, microbiome samples may be associated with disease severity or continuous clinical health indicators that are often a...

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Bibliographic Details
Main Authors: Laura Tipton, Karen T. Cuenco, Laurence Huang, Ruth M. Greenblatt, Eric Kleerup, Frank Sciurba, Steven R. Duncan, Michael P. Donahoe, Alison Morris, Elodie Ghedin
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BioData Mining
Subjects:
Microbiota
16S
ITS
Repeated measures
Continuous outcomes
GLMM
Online Access:http://link.springer.com/article/10.1186/s13040-018-0173-9

Internet

http://link.springer.com/article/10.1186/s13040-018-0173-9

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