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Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics) de Yinglin Xia,Jun Sun,Ding-Geng Chen
Descripción - Reseña del editor 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. Contraportada 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.
Detalles del Libro
- Name: Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics)
- Autor: Yinglin Xia,Jun Sun,Ding-Geng Chen
- Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
- Tamaño del archivo: 18 MB
- Tipos de archivo: PDF Document
- Descargada: 264 times
- Idioma: Español
- Archivos de estado: AVAILABLE
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Statistical analysis of microbiome data with r yinglin 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
Statistical analysis of microbiome data with r icsa book statistical analysis of microbiome data with r icsa book series in statistics 1st ed 2018 edition by yinglin xia author jun sun author dinggeng chen author amp 0 more 50 out of 5 stars 1 rating
Statistical analysis of microbiome data with r springerlink 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
Statistical analysis of microbiome data with r ebook get this from a library statistical analysis of microbiome data with r yinglin xia jun sun dinggeng chen this unique book addresses the statistical modelling and analysis of microbiome data using cuttingedge r software it includes realworld data from the authors research and from the public domain
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Statistical analysis of microbiome data with r yinglin statistical analysis of microbiome data with r by yinglin xia 9789811315336 available at book depository with free delivery worldwide
Statistical analysis of microbiome data with r isbn this unique book addresses the statistical modelling and analysis of microbiome data using cuttingedge r software it includes realworld data from the authors research and from the public domain and discusses the implementation of r for data analysis step by step
Statistical methods for human microbiome data analysis statistical methods for human microbiome data analysis abstract the human microbiome is the totality of the microbes their genetic elements and the interactions they have with surrounding environments throughout the human body studies have implicated the human microbiome in health and disease
Statistical methods for microbiome data analysis methods for microbiome data analysis kernelbased score test kernels for microbiome data kernel as a similarity measure and create kernel from distance k 1 2 i 110 nd2i 110 n where dis the distance matrix it is easy to verify d2 ij k ii k jj 2k ij the key is to use a distance that characterizes well the relationship between
Introductory overview of statistical analysis of abstract in this chapter we first introduce and discuss the themes and statistical hypotheses in human microbiome studies in sect 31then we overview the classic statistical methods and models for microbiome studies in sect 32in sect 33 we introduce the newly developed multivariate statistical methodssection 34 introduces the compositional analysis of microbiome data