Xia, Yinglin,

Statistical data analysis of microbiomes and metabolomics / - 1 online resource : illustrations (some color). - ACS in focus, 2691-8307 . - ACS in focus. .

Includes bibliographical references and index.

Introduction to Microbiome Research Themes and to Characteristics of Microbiome and Metabolomics Data -- Cross-Sectional Statistical Methods for Microbiome Data Analysis -- Longitudinal Methods for Analysis of Microbiome Data -- Mediational Methods for Analysis of Microbiome Data -- Univariate Metabolomics Data Analysis -- Multivariate Metabolomics Data Analysis.

"Compared with other research fields, both microbiome and metabolomics data are complicated and have some unique characteristics, respectively. Thus, choosing an appropriate statistical test or method is a very important step in the analysis of microbiome and metabolomics data. However, this is still a difficult task for those biomedical researchers without a statistical background and for those biostatisticians who do not have research experiences in these fields. Statistical Data Analysis of Microbiomes and Metabolomics focuses on data analysis, statistical methods, and models."--

9780841299160

10.1021/acsinfocus.7e5035 doi


Microbiota--Statistics.
Digestive organs--Microbiology.
Medical microbiology--Statistics.
Molecular biology--Statistics.

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616.9041

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