Simultaneous gene selection and cancer classification using a hybrid group search optimizer

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.