Abstract
In tissue diagnosis with microarray data, selecting the optimal gene subset is very essential for various merits. Different from existing methods, we propose a novel optimal gene subset selection method based on genetic algorithms (GAs). Special fitness function is applied in this scheme. This GA-based method automatically determines the size of a predictive gene group, as well as the members in such a group. The evaluation experiments are applied to two popular data sets. The results and some discussions are presented too.
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