Machine learning approaches in MALDI-MSI: clinical applications.

Journal: Expert review of proteomics
Published Date: Jun 23, 2016

Abstract

INTRODUCTION: Despite the unquestionable advantages of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging in visualizing the spatial distribution and the relative abundance of biomolecules directly on-tissue, the yielded data is complex and high dimensional. Therefore, analysis and interpretation of this huge amount of information is mathematically, statistically and computationally challenging.

Authors

  • Manuel Galli
    a Department of Medicine and Surgery , University of Milano Bicocca , Monza Brianza , Italy.
  • Italo Zoppis
    b Department of Informatics, Systems and Communication , University of Milano Bicocca , Milano , Italy.
  • Andrew Smith
    Department of Computer Science and Engineering (University of South Carolina), Columbia, SC 29208 USA.
  • Fulvio Magni
    a Department of Medicine and Surgery , University of Milano Bicocca , Monza Brianza , Italy.
  • Giancarlo Mauri
    b Department of Informatics, Systems and Communication , University of Milano Bicocca , Milano , Italy.

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