Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics)

by Yinglin Xia, Jun Sun, and Ding-Geng Chen

0 ratings • 0 reviews • 0 shelved
Book cover for Statistical Analysis of Microbiome Data with R

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

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.

  • ISBN13 9789811346453
  • Publish Date 16 December 2018
  • Publish Status Active
  • Publish Country SG
  • Imprint Springer Verlag, Singapore
  • Edition Softcover reprint of the original 1st ed. 2018
  • Format Paperback
  • Pages 505
  • Language English