Applied Microbiome Statistics: Correlation, Association, Interaction and Composition (Chapman & Hall/CRC Biostatistics Series) - Image 1

£128.78

Chapman and Hall/CRC Applied Microbiome Statistics: Correlation, Association, Interaction and Composition (Chapman & Hall/CRC Biostatistics Series)

Name: Applied Microbiome Statistics: Correlation, Association, Interaction and Composition (Chapman & Hall/CRC Biostatistics Series)
Brand: Chapman and Hall/CRC
Price: 112.93 GBP
Availability: InStock

Biological Science

Price History & Forecast

Last 85 days • 85 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 85 days • 8 price levels

Days at Price

Current Price

Price Analysis

Most common price: £71 (26 days, 30.6%)

Price range: £58 - £129

Price levels: 8 different prices over 85 days

Description

This unique book officially defines microbiome statistics as a specific new field of statistics and addresses the statistical analysis of correlation, association, interaction, and composition in microbiome research. It also defines the study of the microbiome as a hypothesis-driven experimental science and describes two microbiome research themes and six unique characteristics of microbiome data, as well as investigating challenges for statistical analysis of microbiome data using the standard statistical methods. This book is useful for researchers of biostatistics, ecology, and data analysts. Presents a thorough overview of statistical methods in microbiome statistics of parametric and nonparametric correlation, association, interaction, and composition adopted from classical statistics and ecology and specifically designed for microbiome research. Performs step-by-step statistical analysis of correlation, association, interaction, and composition in microbiome data. Discusses the issues of statistical analysis of microbiome data: high dimensionality, compositionality, sparsity, overdispersion, zero-inflation, and heterogeneity. Investigates statistical methods on multiple comparisons and multiple hypothesis testing and applications to microbiome data. Introduces a series of exploratory tools to visualize composition and correlation of microbial taxa by barplot, heatmap, and correlation plot. Employs the Kruskal–Wallis rank-sum test to perform model selection for further multi-omics data integration. Offers R code and the datasets from the authors’ real microbiome research and publicly available data for the analysis used. Remarks on the advantages and disadvantages of each of the methods used.

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 036763970X
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Biological Science
Domain: Amazon UK
Release Date: 22 July 2024
Listed Since: 19 December 2023

Barcode

No barcode data available

Chapman and Hall/CRC Applied Microbiome Statistics: Correlation, Association, Interaction and Composition (Chapman & Hall/CRC Biostatistics Series)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Statistical Analysis of Microbiome Data (Frontiers in Probability and the Statistical Sciences)

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

Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package (Chapman & Hall/CRC Computational Biology Series)

Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package (Chapman & Hall/CRC Computational Biology Series)

CRC Press Multiple Correspondence Analysis and Related Methods

Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)

Statistics in the Health Sciences: Theory, Applications, and Computing

Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R (Chapman & Hall/CRC Computational Biology Series)

Introduction to Bioinformatics with R: A Practical Guide for Biologists (Chapman & Hall/CRC Computational Biology Series)

Mixture Models: Parametric, Semiparametric, and New Directions (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Biostatistics for Bioassay (Chapman & Hall/CRC Biostatistics Series)

Microbiome-Host Interactions

Biostatistics: A Computing Approach (Chapman & Hall/CRC Biostatistics Series)

Introduction to Bioinformatics with R: A Practical Guide for Biologists (Chapman & Hall/CRC Computational Biology Series)

Wiley Statistical Analysis in Microbiology - StatNotes Book

Statistical Methods in Biology: Design and Analysis of Experiments and Regression

CRC Press Computational Methods in Biomedical Research Book

Applied Meta-Analysis with R and Stata (Chapman & Hall/CRC Biostatistics Series)

Handbook of Mixture Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Statistics in Toxicology Using R (Chapman & Hall/CRC The R Series)

Metabolomics: Practical Guide to Design and Analysis (Chapman & Hall/CRC Computational Biology Series)

Applied Meta-Analysis with R and Stata - CRC Press Book

Statistical Methods in Drug Combination Studies: 69 (Chapman & Hall/CRC Biostatistics Series)

Biomarker Analysis in Clinical Trials with R (Chapman & Hall/CRC Biostatistics Series)