- We will send in 10–14 business days.
/images/books/13723307/9789811315336.jpg)
- Author: Yinglin Xia
- Publisher: Springer
- ISBN-10: 9811315337
- ISBN-13: 9789811315336
- Format: 15.6 x 23.4 x 2.9 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 16d.00:26:44
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Yinglin Xia
- Publisher: Springer
- ISBN-10: 9811315337
- ISBN-13: 9789811315336
- Format: 15.6 x 23.4 x 2.9 cm, hardcover
- Language: English English
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.
Reviews