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A genetic algorithm applied to optimal gene subset selection | IEEE Conference Publication | IEEE Xplore

A genetic algorithm applied to optimal gene subset selection


Abstract:

Optimal gene subset selection plays an important role in classification of patient samples. Different to existed methods, we propose a novel optimal gene subset selection...Show More

Abstract:

Optimal gene subset selection plays an important role in classification of patient samples. Different to existed methods, we propose a novel optimal gene subset selection approach based on genetic algorithms (GAs). Special fitness function is applied in this scheme. Going beyond other methods, this GA-based method automatically determines the members of a predictive gene group, as well as the optimal group size. The evaluation experiments are applied to two data sets. The results and some discussions are presented too.
Date of Conference: 19-23 June 2004
Date Added to IEEE Xplore: 03 September 2004
Print ISBN:0-7803-8515-2
Conference Location: Portland, OR, USA

References

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