Saeys Yvan, Inza Iñaki, Larrañaga Pedro
Department of Plant Systems Biology, VIB, B-9052 Ghent, Belgium.
Bioinformatics. 2007 Oct 1;23(19):2507-17. doi: 10.1093/bioinformatics/btm344. Epub 2007 Aug 24.
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.
在许多生物信息学应用中,特征选择技术已成为一种明显的需求。除了机器学习和数据挖掘领域已经开发的大量技术之外,生物信息学中的特定应用还催生了大量新提出的技术。在本文中,我们让感兴趣的读者了解特征选择的可能性,提供特征选择技术的基本分类,并讨论它们在一些常见以及新兴的生物信息学应用中的用途、多样性和潜力。