Statistical Analysis of Microbiome Data with R - Couverture rigide

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9789811315336: Statistical Analysis of Microbiome Data with R

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ISBN 10 : 9811315337 ISBN 13 : 9789811315336

Editeur : Springer, 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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�diteurSpringer
Date d'�dition2018
ISBN 10 9811315337
ISBN 13 9789811315336
ReliureReli�
Langueanglais
Nombre de pages532
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9789811346453: Statistical Analysis of Microbiome Data With R

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ISBN 10 : 9811346453 ISBN 13 : 9789811346453
Editeur : Springer Verlag, Singapore, 2018
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Statistical Analysis of Microbiome Data with R

Yinglin Xia|Jun Sun|Ding-Geng Chen

Edit� par Springer Singapore, 2018

ISBN 10 : 9811315337 ISBN 13 : 9789811315336

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by experts actively engaged in the fieldIncludes timely discussions and presentations on methodological development in microbiome studies and real-world applicationsIncludes data and computer programs that are publicly available, al. N� de r�f. du vendeur 449936673

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

Xia

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ISBN 10 : 9811315337 ISBN 13 : 9789811315336

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Statistical Analysis of Microbiome Data With R

Xia, Yinglin; Sun, Jun; Chen, Ding-geng

Edit� par Springer, 2018

ISBN 10 : 9811315337 ISBN 13 : 9789811315336

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Statistical Analysis of Microbiome Data with R

Yinglin Xia

Edit� par Springer Nature Singapore, Springer Nature Singapore Okt 2018, 2018

ISBN 10 : 9811315337 ISBN 13 : 9789811315336

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 532 pp. Englisch. N� de r�f. du vendeur 9789811315336

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Statistical Analysis of Microbiome Data with R

Yinglin Xia

Edit� par Springer Nature Singapore, Springer Nature Singapore, 2018

ISBN 10 : 9811315337 ISBN 13 : 9789811315336

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9789811315336

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