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Scientific article
Open access
English

Identification of metabolites from tandem mass spectra with a machine learning approach utilizing structural features

Published inBioinformatics
Publication date2019
Abstract

Untargeted mass spectrometry is a powerful method for detecting metabolites in biological samples. However, fast and accurate identification of the metabolites' structures from MS/MS spectra is still a great challenge.

Affiliation Not a UNIGE publication
Citation (ISO format)
LI, Yuanyue et al. Identification of metabolites from tandem mass spectra with a machine learning approach utilizing structural features. In: Bioinformatics, 2019. doi: 10.1093/bioinformatics/btz736
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Article (Published version)
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ISSN of the journal1367-4803
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Technical informations

Creation10/22/2019 1:27:00 PM
First validation10/22/2019 1:27:00 PM
Update time03/15/2023 6:13:42 PM
Status update03/15/2023 6:13:41 PM
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