Analysis of variance for high-dimensional data applications in life, food and chemical sciences / Age K. Smilde, Federico Marini, Johan A. Westerhuis, Kristian H. Liland.

Format Electronic
Publication InfoHoboken, NJ : Wiley, 2025.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Other author/creatorSmilde, Age K. http://id.loc.gov/authorities/names/n96115147 http://id.loc.gov/rwo/agents/n96115147.
Other author/creatorMarini, Federico http://id.loc.gov/authorities/names/nb2014004185 http://id.loc.gov/rwo/agents/nb2014004185.
Other author/creatorWesterhuis, Johan A. http://id.loc.gov/authorities/names/no2025070117 http://id.loc.gov/rwo/agents/no2025070117.
Other author/creatorLiland, Kristian H. (Kristian Hovde http://id.loc.gov/authorities/names/no2022041909 http://id.loc.gov/rwo/agents/no2022041909.
Abstract "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.
General noteIncludes index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2025023043
ISBN9781394211210 cloth
ISBNadobe pdf
ISBNepub

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