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

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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.

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Product 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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

ICSA Book Series in Statistics

Release date

October 2018

Availability

Expected to ship within 12 - 17 working days

First published

2018

Authors

, ,

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

Barcode

9789811315336

Categories

LSN

981-13-1533-7



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