特征选择
计算机科学
多样性(控制论)
选择(遗传算法)
特征(语言学)
机器学习
数据科学
人工智能
数据挖掘
生物信息学
生物
语言学
哲学
作者
Yvan Saeys,Iñaki Inza,Pedro Larrañaga
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2007-08-24
卷期号:23 (19): 2507-2517
被引量:4629
标识
DOI:10.1093/bioinformatics/btm344
摘要
Abstract 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. Contact: yvan.saeys@psb.ugent.be Supplementary information: http://bioinformatics.psb.ugent.be/supplementary_data/yvsae/fsreview
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