A review of feature selection techniques in bioinformatics
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1539
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.
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关键词：
Gene Expression Profiling Sequence Analysis Artificial Intelligence Computer Simulation Pattern Recognition, Automated Computational Biology Algorithms Models, Biological
DOI：
10.1093/bioinformatics/btm344
被引量：
年份：
2007
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