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Pathway analysis in metabolomics: pitfalls and best practice for the use of over-representation analysis

2021-05-24

Abstract excerpt

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 impact on the results, but to date their effects have received little systematic attention in the field. We developed...

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Literature Corpus work
414aebe5-4a11-52f2-990b-a15c4636a58a
DOI
10.1101/2021.05.24.445406
Open publication

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Pathway analysis in metabolomics: pitfalls and best practice for the use of over-representation analysisDOI 10.1101/2021.05.24.445406
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