Produkt
KlappentextUnderstand 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.
Richard G. Brereton, PhD, is Professor Emeritus at the University of Bristol, UK, and Director of Brereton Consultancy. He has published widely on chemometrics and related subjects, and serves as Editor-in-Chief for Heritage Science.
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.
Richard G. Brereton, PhD, is Professor Emeritus at the University of Bristol, UK, and Director of Brereton Consultancy. He has published widely on chemometrics and related subjects, and serves as Editor-in-Chief for Heritage Science.
Details
Weitere ISBN/GTIN9781119639374
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format HinweisKopierschutz: DRM, Lesegeräte: PC/MAC/eReader/Tablet
Verlag
Erscheinungsjahr2024
Erscheinungsdatum01.07.2024
Seiten432 Seiten
SpracheEnglisch
Dateigrösse15509
Artikel-Nr.16518761
Rubriken
Genre9201