Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease.

Journal: GigaScience
Published Date:

Abstract

BACKGROUND: Biomarker discovery exploiting feature importance of machine learning has risen recently in the microbiome landscape with its high predictive performance in several disease states. To have a concrete selection among a high number of features, recursive feature elimination (RFE) has been widely used in the bioinformatics field. However, machine learning-based RFE has factors that decrease the stability of feature selection. In this article, we suggested methods to improve stability while sustaining performance.

Authors

  • Youngro Lee
    Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Korea.
  • Marco Cappellato
    Department of Information Engineering, University of Padova, Padova, 35122, Italy.
  • Barbara Di Camillo