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The proposed method gave better results than the other methods using both random forest and SVM classifiers on all the datasets among all the feature selection methods. The proposed method showed improved performance in terms of classification accuracy, Brier score and sensitivity, and hence, could be used as a novel method for gene selection to classify tissue samples into their correct classes. The proposed method showed improved performance in terms of classification accuracy, Brier score and sensitivity, and hence, could be used as a n
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