The authors develop a machine learning approach to find structurally related chemicals in mass spectral libraries. Their method boosts the annotation rate and aids in assessing novelty in metabolomics datasets.
- Niek F. de Jonge
- Joris J. R. Louwen
- Justin J. J. van der Hooft