Enhanced metabolite annotation via dynamic retention time prediction: Steroidogenesis alterations as a case study
Published inJournal of Chromatography. B, vol. 1071, p. 11-18
Publication date2017
Abstract
Keywords
- Metabolite annotation
- Metabolomics
- Dynamic retention time prediction
- Steroidogenesis
- Linear solvent strength theory
- H295R cell line
Research group
Citation (ISO format)
RANDAZZO, Giuseppe Marco et al. Enhanced metabolite annotation via dynamic retention time prediction: Steroidogenesis alterations as a case study. In: Journal of Chromatography. B, 2017, vol. 1071, p. 11–18. doi: 10.1016/j.jchromb.2017.04.032
Main files (1)
Article (Published version)
Identifiers
- PID : unige:146724
- DOI : 10.1016/j.jchromb.2017.04.032
- PMID : 28479067
ISSN of the journal1570-0232