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Abstract: Feature selection techniques have been used as the workhorse in biomarkerdiscovery applications for a long time. Surprisingly, the stability of featureselection 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 forbiomarker discovery using a generic hierarchal framework. We have twoobjectives: 1 providing an overview on this new yet fast growing topic for aconvenient reference; 2 categorizing existing methods under an expandableframework for future research and development.



Autor: Zengyou He, Weichuan Yu

Fuente: https://arxiv.org/



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