Feature Selection of Microarray Data Using Genetic Algorithms and Artificial Neural Networks

@inproceedings{Yacci2009FeatureSO,
  title={Feature Selection of Microarray Data Using Genetic Algorithms and Artificial Neural Networks},
  author={Paul Yacci},
  year={2009}
}
Microarrays, which allow for the measurement of thousands of gene expression levels in parallel, have created a wealth of data not previously available to biologists along with new computational challenges. Microarray studies are characterized by a low sample number and a large feature space with many features irrelevant to the problem being studied. This makes feature selection a necessary pre-processing step for many analyses, particularly classification. A Genetic Algorithm-Artificial Neural… CONTINUE READING

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