Um genaue Preise zu sehen, wählen Sie bitte Ihr Lieferland.
 
 
United States
£ GBP
Alle Kategorien

British Wildlife

8 issues per year 84 Seiten per Ausgabe Nur im Abonnement erhältlich

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Abonnement ab £33 im Jahr

Conservation Land Management

4 Auflagen im Jahr 44 Seiten Nur im Abonnement erhältlich

Conservation Land Management (CLM) ist ein Mitgliedermagazin und erscheint viermal im Jahr. Das Magazin gilt allgemein als unverzichtbare Lektüre für alle Personen, die sich aktiv für das Landmanagement in Großbritannien einsetzen. CLM enthält Artikel in Langform, Veranstaltungslisten, Buchempfehlungen, neue Produktinformationen und Berichte über Konferenzen und Vorträge.

Subscriptions from £26 per year
Akademische und professionelle Bücher  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Statistical Analysis of Microbiome Data with R

By: Yinglin Xia(Editor), Jun Sun(Editor), Ding-Geng Chen(Editor)
505 pages, colour & b/w illustrations
Publisher: Springer Nature
Statistical Analysis of Microbiome Data with R
Click to have a closer look
  • Statistical Analysis of Microbiome Data with R ISBN: 9789811315336 Hardback Oct 2018 In stock
    £129.99
    #242943
Price: £129.99
About this book Contents Customer reviews Related titles

About this book

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.

Statistical Analysis of Microbiome Data with R 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.

Contents

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

Customer Reviews

By: Yinglin Xia(Editor), Jun Sun(Editor), Ding-Geng Chen(Editor)
505 pages, colour & b/w illustrations
Publisher: Springer Nature
Current promotions
New and Forthcoming BooksNHBS Moth TrapBritish Wildlife MagazineBuyers Guides