Stable feature selection for biomarker discovery

Comput Biol Chem. 2010 Aug;34(4):215-25. doi: 10.1016/j.compbiolchem.2010.07.002. Epub 2010 Aug 10.


Feature selection techniques have been used as the workhorse in biomarker discovery applications for a long time. Surprisingly, the stability of feature selection with respect to sampling variations has long been under-considered. It is only until recently that this issue has received more and more attention. In this article, we review existing stable feature selection methods for biomarker discovery using a generic hierarchical framework. We have two objectives: (1) providing an overview on this new yet fast growing topic for a convenient reference; (2) categorizing existing methods under an expandable framework for future research and development.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Artificial Intelligence
  • Biomarkers* / analysis
  • Biomarkers* / metabolism
  • Computational Biology / methods*
  • Humans


  • Biomarkers