Analysis of variance for high-dimensional data : applications in life, food and chemical sciences /

"This book presents an overview of available methods to analyze high-dimensional data that are obtained through applying an experimental design. This type of of data is often collected in the natural and life sciences, and many methods for data analysis have been developed in recent years. Foll...

Full description

Bibliographic Details
Other Authors:	Smilde, Age K. (Editor), Marini, Federico (Editor), Westerhuis, Johan A. (Editor), Liland, Kristian H. (Kristian Hovde) (Editor)
Format:	eBook
Language:	English
Published:	Hoboken, NJ : John Wiley & Sons, Inc., 2025.
Subjects:	Life sciences > Data processing. Food science > Data processing. Chemistry > Data processing. Experimental design.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	"This book presents an overview of available methods to analyze high-dimensional data that are obtained through applying an experimental design. This type of of data is often collected in the natural and life sciences, and many methods for data analysis have been developed in recent years. Following an introduction and overview of the basic theory from a mathematical and statistical perspective, the book introduces the available methods and their mutual relationships, including coverage of ASCA, APCA and PC-ANOVA, ASCA , LiMM-PCA and RM-ASCA , PERMANOVA. Various alternative methods and extensions are covered, followed by a thorough review of application in areas including metabolomics, microbiomoe, gene expression, proteomics, food science, sensory science and chemistry. The book concludes with discussions on commercially available and and open-source software for application of these methods."-- Provided by publisher.
Item Description:	Includes index.
Physical Description:	1 online resource (xiv, 322 pages : : illustrations (some color.)
ISBN:	9781394211241 (electronic bk.) 1394211244 (electronic bk.)