| Description |
1 online resource |
| 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 |
| 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. Graduate students studying microbiome and metabolomics; statisticians, working on microbiome and metabolomics projects, either for their own research, or for their collaborative research for experimental design, grant application, and data analysis; and researchers who investigate biomedical and biochemical projects with the microbiome, metabolome, and multi-omics data analysis will benefit from reading this work."--Publisher's description |
| Bibliography |
Includes bibliographical references and indexes |
| Subject |
Medical microbiology -- Statistics
|
|
Molecular biology -- Statistics
|
|
Medical microbiology.
|
|
Molecular biology.
|
| Genre/Form |
Statistics.
|
| Form |
Electronic book
|
| Author |
Sun, Jun, author
|
|
American Chemical Society.
|
| ISBN |
9780841299160 |
|
0841299161 |
|
