Multivariate Data Integration Using R: Methods and Applications with the mixOmics PackageКНИГИ » ПРОГРАММИНГ
Название: Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package Автор: 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
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Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package 
