Bayesian networks for mass spectrometric metabolite identification via molecular fingerprints

MOTIVATION: Metabolites, small molecules that are involved in cellular reactions, provide a direct functional signature of cellular state. Untargeted metabolomics experiments usually rely on tandem mass spectrometry to identify the thousands of compounds in a biological sample. Recently, we presente...

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Detalles Bibliográficos
Autores principales: Ludwig, Marcus, Dührkop, Kai, Böcker, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022630/
https://www.ncbi.nlm.nih.gov/pubmed/29949965
http://dx.doi.org/10.1093/bioinformatics/bty245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022630/
https://www.ncbi.nlm.nih.gov/pubmed/29949965
http://dx.doi.org/10.1093/bioinformatics/bty245

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