Statistical Analysis of Microbiome Data with R (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	ICSA Book Series in Statistics
Release date:	October 2018
First published:	2018
Authors:	Yinglin Xia • Jun Sun • Ding-Geng Chen
Dimensions:	235 x 155 x 32mm (L x W x T)
Format:	Hardcover
Pages:	505
Edition:	1st ed. 2018
ISBN-13:	978-981-13-1533-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > Pre-clinical medicine: basic sciences > Physiology > General Books > Science & Mathematics > Biology, life sciences > Microbiology (non-medical) > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	981-13-1533-7
Barcode:	9789811315336

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