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Englisch
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Beschreibung
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 programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research.
The book also discusses recent developments in statistical modelling and data analysis in microbiome research, 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.
The book also discusses recent developments in statistical modelling and data analysis in microbiome research, 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.
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 programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research.
The book also discusses recent developments in statistical modelling and data analysis in microbiome research, 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.
The book also discusses recent developments in statistical modelling and data analysis in microbiome research, 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.
Zusammenfassung
Written by experts actively engaged in the field
Includes timely discussions and presentations on methodological development in microbiome studies and real-world applications
Includes data and computer programs that are publicly available, allowing readers to replicate the statistical analyses
Offers a framework for analysing microbiome data
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: | 2018 |
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Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xxiii
505 S. 17 s/w Illustr. 67 farbige Illustr. 505 p. 84 illus. 67 illus. in color. |
ISBN-13: | 9789811315336 |
ISBN-10: | 9811315337 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Xia, Yinglin
Chen, Ding-Geng Sun, Jun |
Auflage: | 1st edition 2018 |
Hersteller: |
Springer Singapore
Springer Nature Singapore |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 34 mm |
Von/Mit: | Yinglin Xia (u. a.) |
Erscheinungsdatum: | 20.10.2018 |
Gewicht: | 0,957 kg |