Stable feature selection for biomarker discovery.
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.
He
Zengyou
Z
School of Software, Dalian University of Technology, China. zyhe@dlut.edu.cn
Yu
Weichuan
W
D000818:Animals; D001185:Artificial Intelligence; D015415:Biomarkers / Q000032:analysis / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D006801:Humans
D015415:Biomarkers