Feature impact assessment: a new score to identify relevant metabolomics features in artificial neural networks using validated labels.

Journal: Metabolomics : Official journal of the Metabolomic Society
Published Date: Mar 25, 2023

Abstract

INTRODUCTION: Artificial Neural Networks (ANN) are increasingly used in metabolomics but are hard to interpret.

Authors

  • Danhui Wang
    Department of Food Science and Technology, The Ohio State University, Columbus, OH, 43210, USA.
  • Peyton Greenwood
    Department of Food Science and Technology, The Ohio State University, Columbus, OH, 43210, USA.
  • Matthias S Klein
    Department of Food Science and Technology, The Ohio State University, Columbus, OH, 43210, USA. klein.663@osu.edu.

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