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Observational analysis reveals applicability of formula subset analysis in metabolomics, suggesting it may aid candidate prescreening.
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.
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Ke-Shiuan Lynn (2025) studied this question.
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