| 书目名称 | Statistical Analysis of Microbiome Data with R |
| 编辑 | Yinglin Xia,Jun Sun,Ding-Geng Chen |
| 视频video | |
| 概述 | Written by experts actively engaged in the field.Includes timely discussions and presentations on methodological development in microbiome studies and real-world applications.Includes data and compute |
| 丛书名称 | ICSA Book Series in Statistics |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2018 |
| 关键词 | Microbiome Data Analysis; statistical Models; Multivariate Data Analysis; Metagenomics; R software; Stati |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-1534-3 |
| isbn_softcover | 978-981-13-4645-3 |
| isbn_ebook | 978-981-13-1534-3Series ISSN 2199-0980 Series E-ISSN 2199-0999 |
| issn_series | 2199-0980 |
| copyright | Springer Nature Singapore Pte Ltd. 2018 |
发表于 2025-3-21 18:05:43
