Statistical Analysis of Microbiome Data with R

2018 ed.

by Ding-Geng Chen , Jun Sun , Yinglin Xia

Book Details

Format Hardback or Cased Book

Book Series ICSA Book Series in Statistics

ISBN-10 9811315337

ISBN-13 9789811315336

Edition 2018 ed.

Publisher Springer Verlag, Singapore

Imprint Springer Verlag, Singapore

Country of Manufacture SG

Country of Publication GB

Publication Date Oct 20th, 2018

Print length 505 Pages

Weight 930 grams

Dimensions 16.40 x 24.30 x 3.20 cms

Product Classification: Physiology Probability & statistics Microbiology (non-medical)Mathematical & statistical software

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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.

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.

Get Statistical Analysis of Microbiome Data with R by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Verlag, Singapore and it has pages.