Print Email Facebook Twitter Dynamic metabolomic data analysis: A tutorial review 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 InformaticsPhysiological SciencesBasis functionsDimension reductionDynamic systemsMultivariate modelingTime series analysisTime-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 Files To receive the publication files, please send an e-mail request to TNO Library.