Abstract
Feature selection from DNA microarray data is one of the most important procedures in bioinformatics. The huge dimensionality of the DNA microarray data becomes a problem when it is used for cancer classification. This problem can be alleviated by employing feature selection as a preprocessing step in classification. This paper reviews some of the major feature selection techniques employed in microarray data and points out the merits and demerits of various approaches.
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