Название: Multivariate Data Integration Using R: Methods and Applications with the mixOmics PackageАвтор: Kim-Anh Le Cao, Zoe Marie Welham
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 331
Размер: 21,2 Mb
Язык: English
Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good training in statistics, from data exploration through to analysis and interpretation. This book provides an overview of statistical and dimension reduction methods for high-throughput biological data, with a specific focus on data integration. It starts with some biological background, key concepts underlying the multivariate methods, and then covers an array of methods implemented using the mixOmics package in R.
Features:
Provides a broad and accessible overview of methods for multi-omics data integration
Covers a wide range of multivariate methods, each designed to answer specific biological questions
Includes comprehensive visualisation techniques to aid in data interpretation
Includes many worked examples and case studies using real data
Includes reproducible R code for each multivariate method, using the mixOmics package