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Simultaneous gene selection and cancer classification using a hybrid group search optimizer
Magatrao D., Ghosh S., , Siarry P.
Published in
Pages: 7 - 8
Constructing classifier models for gene expression datasets using informative features enhances prediction performance of concerned models. Here, we propose a hybrid Group Search based feature selection (GSO-FS) algorithm which can select relevant gene subsets that can optimally predict cancerous tissue samples. Our experimental results show that the GSO-FS algorithm in combination with SVM classifier performs quite well.
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