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METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learning

Abstract Imaging mass spectrometry is a powerful technology enabling spatial metabolomics, yet metabolites can be assigned only to a fraction of the data generated. METASPACE-ML is a machine learning-based approach addressing this challenge which incorporates new scores and computationally-efficient...

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Bibliografiset tiedot
Päätekijät: Bishoy Wadie, Lachlan Stuart, Christopher M. Rath, Bernhard Drotleff, Sergii Mamedov, Theodore Alexandrov
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Portfolio 2024-10-01
Sarja:Nature Communications
Linkit:https://doi.org/10.1038/s41467-024-52213-9
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