HIGHLIGHTS
- who: Polina Turova and colleagues from the Faculty of Chemistry, MVLomonosov Moscow State University, Leninskie Gory, Moscow, Russia have published the research: Analysis of Primary Liquid Chromatography Mass Spectrometry Data by Neural Networks for Plant Samples Classification, in the Journal: Metabolites 2022, 12, 993. of /2022/
- what: Compared to the approaches described in the literature , where a series of images was generated for each sample, representation of LC-MS data in the form of a single image seems promising because it saves spatial information and preserves the correlation between the adjoined signals in the sample . . .
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