A review of feature selection techniques in bioinformatics

被引:3334
作者
Saeys, Yvan [1 ]
Inza, Inaki
Larranaga, Pedro
机构
[1] VIB, Dept Plant Syst Biol, B-9052 Ghent, Belgium
[2] Univ Ghent, Dept Mol Genet, Bioinformat & Evolutionary Genom Grp, B-9052 Ghent, Belgium
[3] Univ Basque Country, Fac Comp Sci, Dept Comp Sci & Artificial Intelligence, San Sebastian, Spain
关键词
D O I
10.1093/bioinformatics/btm344
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Feature selection techniques have become an apparent need in many bioinformatics applications. In addition to the large pool of techniques that have already been developed in the machine learning and data mining fields, specific applications in bioinformatics have led to a wealth of newly proposed techniques. In this article, we make the interested reader aware of the possibilities of feature selection, providing a basic taxonomy of feature selection techniques, and discussing their use, variety and potential in a number of both common as well as upcoming bioinformatics applications.
引用
收藏
页码:2507 / 2517
页数:11
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