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Most microbiome data are simple , calling for analytical models to deal with zero-inflation. Furthermore, longitudinal design causes correlation among the list of examples and thus more complicates the evaluation and explanation regarding the microbiome data. In this specific article, we suggest zero-inflated Gaussian mixed designs (ZIGMMs) to analyze longitudinal microbiome data. ZIGMMs is a sturdy and flexible method which may be applicable for longitudinal microbiom

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