High-dimensionality: a challenge in metabolomics data analysis

Metabolomics experiments produce “big data” datasets, and contain a wealth of information that needs to be inspected.

Many of the traditional data analysis approaches are not ideally suited to analyse metabolomics data. Dr Jasper Engel explains the reasons for this and introduces the challenges of analyzing metabolomics data.