Analysis of primary liquid chromatography mass spectrometry data by neural networks for plant samples classification

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 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.