9811315337

Statistical Analysis of Microbiome Data with R (Repost)  eBooks & eLearning

Posted by AvaxGenius at Nov. 9, 2018
Statistical Analysis of Microbiome Data with R (Repost)

Statistical Analysis of Microbiome Data with R by Yinglin Xia
English | PDF,EPUB | 2018 | 518 Pages | ISBN : 9811315337 | 27.06 MB

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.

Statistical Analysis of Microbiome Data with R  eBooks & eLearning

Posted by AvaxGenius at Oct. 8, 2018
Statistical Analysis of Microbiome Data with R

Statistical Analysis of Microbiome Data with R by Yinglin Xia
English | PDF,EPUB | 2018 | 518 Pages | ISBN : 9811315337 | 27.06 MB

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.

Statistical Analysis of Microbiome Data with R (Repost)  eBooks & eLearning

Posted by AvaxGenius at Oct. 19, 2018
Statistical Analysis of Microbiome Data with R (Repost)

Statistical Analysis of Microbiome Data with R by Yinglin Xia
English | PDF,EPUB | 2018 | 518 Pages | ISBN : 9811315337 | 27.06 MB

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.