首页|University of Gothenburg Reports Findings in Machine Learning (Navigating the ma ze of mass spectra: a machine-learning guide to identifying diagnostic ions in O -glycan analysis)
University of Gothenburg Reports Findings in Machine Learning (Navigating the ma ze of mass spectra: a machine-learning guide to identifying diagnostic ions in O -glycan analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Gothenburg, Sweden, by NewsRx editors, research stated, “Structural details of oligosaccharides, or gl ycans, often carry biological relevance, which is why they are typically elucida ted using tandem mass spectrometry. Common approaches to distinguish isomers rel y on diagnostic glycan fragments for annotating topologies or linkages.” Financial supporters for this research include Branco Weiss Fellowship - Society in Science, Knut och Alice Wallenbergs Stiftelse, Vetenskapsradet, University o f Gothenburg.
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