Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics) - Image 1

£111.99

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

Name: Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics)
Brand: Springer
Price: 116.0 GBP
Availability: InStock

Databases

Price History & Forecast

Last 88 days • 88 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 88 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £112 (74 days, 84.1%)

Price range: £112 - £116

Price levels: 2 different prices over 88 days

Description

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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9811315337
Category: Books > Subjects > Computing & Internet > Databases
Domain: Amazon UK
Release Date: 20 October 2018
Listed Since: 07 June 2018

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

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

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

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

Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health)

R Programming: Statistical Data Analysis in Research

Monte-Carlo Simulation-Based Statistical Modeling (ICSA Book Series in Statistics)

Bioinformatics and Data Analysis in Microbiology

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

Field Research Methods in Agriculture: An Introduction with R

Molecular Data Analysis Using R

Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!)

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

Human Microbiome: Techniques, Strategies, and Therapeutic Potential

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

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

From Experimental Network to Meta-analysis: Methods and Applications with R for Agronomic and Environmental Sciences

Introduction to Nonparametric Statistics for the Biological Sciences Using R

Chemometrics with R: Multivariate Data Analysis in the Natural and Life Sciences (Use R!)

Biostatistics With 'R': A Guide for Medical Doctors

Genome Data Analysis (Learning Materials in Biosciences)

Advanced Statistics for the Behavioral Sciences: A Computational Approach with R

Statistical Methods for Biostatistics and Related Fields

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