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

Statistical Analysis of Microbiome Data with R

Yinglin Xia et autres
    • 129,99 €
    • 129,99 €

Description de l’éditeur

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.

GENRE
Informatique et Internet
SORTIE
2018
6 octobre
LANGUE
EN
Anglais
LONGUEUR
528
Pages
ÉDITIONS
Springer Nature Singapore
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
12,5
Mo
Computational Intelligence Methods for Bioinformatics and Biostatistics Computational Intelligence Methods for Bioinformatics and Biostatistics
2016
Computational Intelligence Methods for Bioinformatics and Biostatistics Computational Intelligence Methods for Bioinformatics and Biostatistics
2017
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
2009
Advances in Bioinformatics and Computational Biology Advances in Bioinformatics and Computational Biology
2020
Research in Computational Molecular Biology Research in Computational Molecular Biology
2016
Research in Computational Molecular Biology Research in Computational Molecular Biology
2019
Applied Microbiome Statistics Applied Microbiome Statistics
2024
Bioinformatic and Statistical Analysis of Microbiome Data Bioinformatic and Statistical Analysis of Microbiome Data
2023
Dose Finding and Beyond in Biopharmaceutical Development Dose Finding and Beyond in Biopharmaceutical Development
2024
Modeling Binary Correlated Responses Modeling Binary Correlated Responses
2024
Statistics in Precision Health Statistics in Precision Health
2024
Statistical Inference Under Mixture Models Statistical Inference Under Mixture Models
2023
Emerging Topics in Modeling Interval-Censored Survival Data Emerging Topics in Modeling Interval-Censored Survival Data
2022
Advances and Innovations in Statistics and Data Science Advances and Innovations in Statistics and Data Science
2022