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Microbiome Data Analysis with R by Shubham Dubey is a document available to read on EtoBox.

The document presents a comprehensive overview of statistical analysis methods for microbiome data using R, including exploration, hypothesis testing, and compositional analysis. It discusses various statistical models suitable for microbiome data, such as zero-inflated and Dirichlet-multinomial models, and highlights the importance of addressing the complexity and sparsity of microbiome data. Additionally, it provides insights into R packages that facilitate these analyses and emphasizes the need for caref

Author
Shubham Dubey
Language
EN