Title
Dynamic metabolomic data analysis: A tutorial review
Author
Smilde, A.K.
Westerhuis, J.A.
Hoefsloot, H.C.J.
Bijlsma, S.
Rubingh, C.M.
Vis, D.J.
Jellema, R.H.
Pijl, H.
Roelfsema, F.
van der Greef, J.
TNO Kwaliteit van Leven
Publication year
2010
Abstract
In metabolomics, time-resolved, dynamic or temporal data is more and more collected. The number of methods to analyze such data, however, is very limited and in most cases the dynamic nature of the data is not even taken into account. This paper reviews current methods in use for analyzing dynamic metabolomic data. Moreover, some methods from other fields of science that may be of use to analyze such dynamic metabolomics data are described in some detail. The methods are put in a general framework after providing a formal definition on what constitutes a 'dynamic' method. Some of the methods are illustrated with real-life metabolomics examples. © The Author(s) 2009.
Subject
Informatics
Physiological Sciences
Basis functions
Dimension reduction
Dynamic systems
Multivariate modeling
Time series analysis
Time-resolved
To reference this document use:
http://resolver.tudelft.nl/uuid:45fbf466-8373-4c62-8497-df763e771f60
DOI
https://doi.org/10.1007/s11306-009-0191-1
TNO identifier
346414
ISSN
1573-3882
Source
Metabolomics, 6 (1), 3-17
Document type
article