Journal
COMPUTATIONAL BIOLOGY AND CHEMISTRY
Volume 34, Issue 4, Pages 215-225Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compbiolchem.2010.07.002
Keywords
Feature selection; Biomarker discovery; Stability; Machine learning
Funding
- Fundamental Research Funds for the Central Universities of China [DUT10JR05, DUT10ZD110]
- Hong Kong Research Grant Council [621707]
- Hong Kong University of Science and Technology [RPC07/08 EG25, RPC10 EG04]
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Feature selection techniques have been used as the workhouse in biomarker discovery applications for a long time Surprisingly the stability of feature selection with respect to sampling vat lotions 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 over view on this new yet fast growing topic for a convenient reference (2) categorizing existing methods under an expandable homework for future research and development (C) 2010 Elsevier Ltd All rights reserved
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