Automated metabolite formula ranking using formula subset analysis for LC-MS/MS-based metabolomics
FSA has not utilized structural information yet and therefore its accuracy may not be competitive with some of the state-of-the-art identification tools. However, its advantages in speed, expandability, and applicability, make it suitable for prescreening candidates in untargeted LC-MS metabolomics studies.
Authors
- Ke‐Shiuan Lynn (ORCID: https://orcid.org/0000-0002-4570-8809)
Institutions
- Fu Jen Catholic University (TW)
Publication Details
- Journal
- Metabolomics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1007/s11306-025-02379-0
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science and Technology Council