Statistical data analysis of microbiomes and metabolomics /

Format:

Book

Author/Creator:

Xia, Yinglin, University of Illinois at Chicago., author.

Sun, Jun, University of Illinois at Chicago/Jesse Brown VA Medical Center Chicago (537)., author.

Contributor:

American Chemical Society.

Series:

ACS in focus. 2691-8307.

ACS in focus, 2691-8307

Language:

English

Subjects (All):

Microbiota--Statistics.

Microbiota.

Digestive organs--Microbiology.

Digestive organs.

Medical microbiology--Statistics.

Medical microbiology.

Molecular biology--Statistics.

Molecular biology.

Physical Description:

1 online resource : illustrations (some color)

Place of Publication:

Washington, DC, USA : American Chemical Society, 2022.

Summary:

"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.

Contents:

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.

Notes:

Includes bibliographical references and index.

Local Notes:

American Chemical Society, ACS In Focus eBooks - 2022 Front Files.

ISBN:

9780841299160

Access Restriction:

Restricted for use by site license.