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High-dimensionality: a challenge in metabolomics data analysis
Watch Dr Jasper Engel discuss the challenge of analyzing high-dimensionality metabolomics data.
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.
This article is from the online course:
Metabolomics: Understanding Metabolism in the 21st Century
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This article is from the free online
Metabolomics: Understanding Metabolism in the 21st Century
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