"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.
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Age K. Smilde is Emeritus-Professor of Biosystems Data Analysis at the Swammerdam Institute for Life Sciences at the University of Amsterdam. He also holds a part-time position at the Department of Plant and Environmental Sciences at the University of Copenhagen.
Federico Marini is Professor of Analytical Chemistry at the Department of Chemistry of the University of Rome "La Sapienza".
Johan A. Westerhuis is Assistant Professor at the Swammerdam Institute for Life Sciences, University of Amsterdam, The Netherlands.
Kristian H. Liland is Professor of Statistics at the Faculty of Science and Technology, Norwegian University of Life Sciences, Norway.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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