LC–MS peak assignment based on unanimous selection by six machine learning algorithms

Abstract Recent mass spectrometry (MS)-based techniques enable deep proteome coverage with relative quantitative analysis, resulting in increased identification of very weak signals accompanied by increased data size of liquid chromatography (LC)–MS/MS spectra. However, the identification of weak si...

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Auteurs principaux: Hiroaki Ito, Takashi Matsui, Ryo Konno, Makoto Itakura, Yoshio Kodera
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/c4b961b0216b4cf98d42bebbb6cc47ec
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