期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：1
DOI：10.14569/IJACSA.2011.020121
出版社：Science and Information Society (SAI)
摘要：The availability of massive amounts of experimental data based on genome-wide studies has given impetus in recent years to a large effort in developing mathematical, statistical and computational techniques to infer biological models from data. In many bioinformatics problems the number of features is significantly larger than the number of samples (high feature to sample ratio datasets) and feature selection techniques have become an apparent need in many bioinformatics applications. This article provides the reader aware of the possibilities of feature selection, providing a basic taxonomy of feature selection techniques, discussing its uses, common and upcoming bioinformatics applications.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Bio-Informatics; Feature Selection; Text Mining; Literature Mining; Wrapper; Filter Embedded Methods.
