募捐 9月15日2024 – 10月1日2024 关于筹款

Statistical Analysis of Microbiome Data with R

Statistical Analysis of Microbiome Data with R

Yinglin Xia, Jun Sun, Ding-Geng Chen
你有多喜欢这本书?
下载文件的质量如何?
下载该书,以评价其质量
下载文件的质量如何?
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.
年:
2018
出版社:
Springer
语言:
english
页:
518
ISBN 10:
9811315345
ISBN 13:
9782018950829
系列:
ICSA Book Series in Statistics
文件:
PDF, 17.42 MB
IPFS:
CID , CID Blake2b
english, 2018
线上阅读
正在转换
转换为 失败

关键词