Statistical data analysis of microbiomes and metabolomics /
By: Xia, Yinglin [author.]
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Contributor(s): Sun, Jun. University of Illinois at Chicago/Jesse Brown VA Medical Center Chicago (537) [author.] | American Chemical Society.
Material type: 
BookSeries: ACS in focus: Publisher: Washington, DC, USA : American Chemical Society, 2022Description: 1 online resource : illustrations (some color).Content type: text Media type: computer Carrier type: online resourceISBN: 9780841299160.Subject(s): Microbiota -- Statistics | Digestive organs -- Microbiology | Medical microbiology -- Statistics | Molecular biology -- StatisticsDDC classification: 616.9041 Online resources: Click here to access online 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."-- Provided by publisher.
American Chemical Society, ACS In Focus eBooks - 2022 Front Files.
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