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Data Analysis and Chemometrics for Metabolomics

Language EnglishEnglish
Book Hardback
Book Data Analysis and Chemometrics for Metabolomics RG Brereton
Libristo code: 41479596
Publishers John Wiley and Sons Ltd, May 2023
Understand new modes of analysing metabolomic data Metabolomics is the study of metabolites, small m... Full description
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Understand new modes of analysing metabolomic data Metabolomics is the study of metabolites, small molecules and chemical substrates within cells or larger structures which collectively make up the metabolome. The field of metabolomics stands to benefit enormously from chemometrics, an approach which brings advanced statistical techniques to bear on data of this kind. Data Analysis and Chemometrics for Metabolomics constitutes an accessible introduction to chemometric techniques and their applications in the field of metabolomics. Thoroughly and accessibly written by a leading expert in chemometrics, and printed in full-colour, it brings robust data analysis into conversation with the metabolomic field to the immense benefit of practitioners. Data Analysis and Chemometrics for Metabolomics readers will also find: Statistical insights into the nature of metabolomic hypothesis testing, validation, and more All metabolomics data sets from the book on a companion website Case studies from human, animal, plant and bacterial biology Data Analysis and Chemometrics for Metabolomics is ideal for practitioners in the life sciences, clinical sciences and chemistry, as well as metabolomics researchers or developers of research instruments looking to apply cutting-edge analytical techniques, and statisticians developing methods to design experiments and analyse large datasets of clinical and biological origin.

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About the book

Full name Data Analysis and Chemometrics for Metabolomics
Author RG Brereton
Language English
Binding Book - Hardback
Date of issue 2023
Number of pages 432
EAN 9781119639381
Libristo code 41479596
Publishers John Wiley and Sons Ltd
Weight 1049
Dimensions 178 x 254

Categories

Mathematics & Science > Chemistry
Mathematics & Science > Biology, life sciences
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