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.