Titlebook: Statistical Analysis of Microbiome Data with R; Yinglin Xia,Jun Sun,Ding-Geng Chen Book 2018 Springer Nature Singapore Pte Ltd. 2018 Micro

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Book 2018esearch, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research..

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Introductory Overview of Statistical Analysis of Microbiome Data,assic statistical methods and models for microbiome studies in Sect. .. In Sect. ., we introduce the newly developed multivariate statistical methods. Section . introduces the compositional analysis of microbiome data. In Sect. ., we discuss the longitudinal data analysis and causal inference in mic

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Exploratory Analysis of Microbiome Data and Beyond, of microbiome composition. The multivariate analysis includes various multivariate techniques, such as clustering and (unconstrained and constrained) ordination and hypothesis testing differences among groups. Although the unconstrained ordination involves post hoc hypothesis, it belongs to explora

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Multivariate Community Analysis,diversities and illustrated how to calculate beta diversity indices. After we obtain beta diversity indices, we can conduct statistical analysis on them. The beta diversity analyses in studies of microbiome fall into two categories: exploratory techniques and statistical tests of significance. We il

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Compositional Analysis of Microbiome Data, compositional data analysis. Section . introduce the reasons that microbiome dataset can be treated as compositional. In Sect. ., we illustrate some graphics of exploratory compositional data analysis. Section . is covered by the ALDEx2 package for hypothesis testing between the groups. In Sect. .,

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Introductory Overview of Statistical Analysis of Microbiome Data, Section . introduces the compositional analysis of microbiome data. In Sect. ., we discuss the longitudinal data analysis and causal inference in microbiome studies. In Sect. ., we introduce some statistical packages for analyzing microbiome data. Finally, we cover the limitations of existing statistical methods and future development in Sect. ..