Simulated metabolic profiles reveal biases in pathway analysis methods
This work highlights how some metabolomics data may not be suited to typical PA methods, and serves as a benchmark for analysing, improving and potentially developing new PA tools.
Authors
- Fabien Jourdan (ORCID: https://orcid.org/0000-0001-9401-2894)
- Cecilia Wieder (ORCID: https://orcid.org/0000-0003-1548-4346)
- Juliette Cooke (ORCID: https://orcid.org/0000-0003-2085-0339)
- Nathalie Poupin (ORCID: https://orcid.org/0000-0002-3393-1405)
- Timothy M. D. Ebbels (ORCID: https://orcid.org/0000-0002-3372-8423)
- Clément Frainay (ORCID: https://orcid.org/0000-0003-4313-2786)
Institutions
- Université Toulouse III - Paul Sabatier (FR)
- École Nationale Vétérinaire de Toulouse (FR)
- Université Fédérale de Toulouse Midi-Pyrénées (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Toxicologie Alimentaire (FR)
- Imperial College London (GB)
Publication Details
- Journal
- Metabolomics
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1007/s11306-025-02335-y
- Citations
- 1
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.81