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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Veröffentlicht in:	PLoS computational biology 2021-09, Vol.17 (9), p.e1009105
Hauptverfasser:	Wieder, Cecilia, Frainay, Clément, Poupin, Nathalie, Rodríguez-Mier, Pablo, Vinson, Florence, Cooke, Juliette, Lai, Rachel Pj, Bundy, Jacob G, Jourdan, Fabien, Ebbels, Timothy
Format:	Artikel
Sprache:	eng
Schlagworte:	Biology and Life Sciences Computational Biology - methods Computer and Information Sciences Datasets Datasets as Topic Electronic data processing Guidelines Life Sciences Mathematical analysis Metabolic Networks and Pathways Metabolic pathways Metabolites Metabolomics Methods Physical Sciences Reliability analysis Reliability aspects Representations Reproducibility of Results Statistical methods
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