Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis

Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis

Over-representation analysis (ORA) is one of the commonest pathway analysis approaches used for the functional interpretation of metabolomics datasets. Despite the widespread use of ORA in metabolomics, the community lacks guidelines detailing its best-practice use. Many factors have a pronounced im...

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Bibliographic Details
Main Authors: Bundy, J.G (Author), Cooke, J. (Author), Ebbels, T. (Author), Frainay, C. (Author), Jourdan, F. (Author), Lai, R.P.J (Author), Poupin, N. (Author), Rodríguez-Mier, P. (Author), Vinson, F. (Author), Wieder, C. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
article
biology
Computational Biology
Datasets as Topic
information processing
Metabolic Networks and Pathways
metabolism
metabolomics
Metabolomics
overrepresentation analysis
practice guideline
procedures
reliability
reproducibility
Reproducibility of Results
simulation
standardization
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