| Literature DB >> 29761450 |
Lisa Fürtauer1, Jakob Weiszmann1,2, Wolfram Weckwerth1,2, Thomas Nägele3,4,5.
Abstract
The experimental analysis of a plant metabolome typically results in a comprehensive and multidimensional data set. To interpret metabolomics data in the context of biochemical regulation and environmental fluctuation, various approaches of mathematical modeling have been developed and have proven useful. In this chapter, a general introduction to mathematical modeling is presented and discussed in context of plant metabolism. A particular focus is laid on the suitability of mathematical approaches to functionally integrate plant metabolomics data in a metabolic network and combine it with other biochemical or physiological parameters.Keywords: Granger causality; Jacobian matrix; Mathematical modeling; Metabolomics; Multivariate statistics; ODE; Plant biochemistry; Time series analysis
Mesh：
Year: 2018 PMID： 29761450 DOI： 10.1007/978-1-4939-7819-9_24
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745