Statistical Data Analysis of Microbiomes and Metabolomics
Author | : Yinglin Xia |
Publisher | : American Chemical Society |
Total Pages | : 231 |
Release | : 2022-02-03 |
ISBN-10 | : 9780841299160 |
ISBN-13 | : 0841299161 |
Rating | : 4/5 (60 Downloads) |
Book excerpt: 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. 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.