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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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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6022630/ https://ncbi.nlm.nih.gov/pubmed/29949965 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty245 |
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