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Chapter 6 - Chemometrics Techniques for Metabonomics
Umeå University, Faculty of Science and Technology, Department of Chemistry. (Computational Life Science Cluster (CLiC))
2007 (English)In: THE HANDBOOK OF METABONOMICS AND METABOLOMICS, Elsevier Science , 2007Chapter in book (Refereed)
Abstract [en]

In biology, as well as in other branches of science and technology, these is a steady trend towards the use of more variables (properties) to characterize observations (e.g. samples, experiments, time points). Often, these measurements can be arranged into a data table, where each row constitutes an observation and the columns represent the variables or factors we have measured (e.g. intensities at a specific wavelength, mass-to-charge ratio, NMR chemical shift). This development generates increasingly complex data tables, which are hard to summarize and overview without appropriate tools. Thus, in this chapter we will try to guide the reader through a chemometrical approach for extracting information out of data.

Place, publisher, year, edition, pages
Elsevier Science , 2007.
Keyword [en]
Kinetics, Least-Squares Analysis, Metabolism, Models; Statistical, Multivariate Analysis, Proteins/*chemistry/*metabolism
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:umu:diva-12898DOI: doi:10.1016/B978-044452841-4/50007-2ISBN: 0444528415 (print)OAI: oai:DiVA.org:umu-12898DiVA: diva2:152569
Note

Pages 171-199

Available from: 2007-09-10 Created: 2007-09-10 Last updated: 2012-09-06

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Trygg, Johan

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