Statistical Analysis of Microbiome Data with R

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Synopsis

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.

Book details

Edition:
1st ed. 2018
Series:
ICSA Book Series in Statistics
Author:
Yinglin Xia, Jun Sun, Ding-Geng Chen
ISBN:
9789811315343
Related ISBNs:
9789811315336
Publisher:
Springer Singapore, Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2018-11-10
Usage restrictions:
Copyright
Copyright date:
2018
Copyright by:
Springer Nature Singapore Pte Ltd. 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Mathematics and Statistics, Medicine, Nonfiction