Cargando…
Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites
In gas chromatography–mass spectrometry-based untargeted metabolomics, metabolites are identified by comparing mass spectra and chromatographic retention time with reference databases or standard materials. In that sense, machine learning has been used to predict the retention time of metabolites la...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024754/ https://www.ncbi.nlm.nih.gov/pubmed/35453629 http://dx.doi.org/10.3390/biomedicines10040879 |