Abstract
We can divide methods of microbiome community composition study into two major components: analysis of taxonomic diversities and multivariate analysis 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 exploratory analysis per se. The constrained ordination is a hypothesis testing. In this chapter, we will use various graphical techniques to explore taxonomic diversities and use clustering and ordination techniques to explore microbiome compositions.
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Xia, Y., Sun, J., Chen, DG. (2018). Exploratory Analysis of Microbiome Data and Beyond. In: Statistical Analysis of Microbiome Data with R. ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1534-3_7
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DOI: https://doi.org/10.1007/978-981-13-1534-3_7
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