Statistical Analysis of Microbiome Data with R

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors' research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer pr...

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Bibliographische Detailangaben
1. Verfasser: Xia, Yinglin (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Singapore , 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:ICSA Book Series in Statistics,
Schlagworte:
ISBN:9789811315343
ISSN:2199-0980
Online-Zugang: Volltext
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Inhaltsangabe:
  • Chapter 1: Introduction to R, RStudio and ggplot2
  • Chapter 2: What are Microbiome Data?
  • Chapter 3: Bioinformatic and Statistical Analyses of Microbiome Data
  • Chapter 4: Power and Sample Size Calculation in Hypothesis Testing Microbiome Data
  • Chapter 5: Microbiome Data Management
  • Chapter 6: Exploratory Analysis of Microbiome Data
  • Chapter 7: Comparisons of Diversities, OTUs and Taxa among Groups
  • Chapter 8: Community Composition Study
  • Chapter 9: Modeling Over-dispersed Microbiome Data
  • Chapter 10: Linear Regression Modeling metadata
  • Chapter 11: Modeling Zero-Inflated Microbiome Data.