Change search
ReferencesLink to record
Permanent link

Direct link
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
URN: urn:nbn:se:umu:diva-12898DOI: doi:10.1016/B978-044452841-4/50007-2ISBN: 0444528415OAI: diva2:152569

Pages 171-199

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

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Trygg, Johan
By organisation
Department of Chemistry
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 37 hits
ReferencesLink to record
Permanent link

Direct link