Improving feature selection performance for classification of gene expression data using Harris Hawks optimizer with variable neighborhood learning.

Abstract excerpt

Gene expression profiling has played a significant role in the identification and classification of tumor molecules. In gene expression data, only a few feature genes are closely related to tumors. It is a challenging task to select highly discriminative feature genes, and existing methods fail to deal with this problem efficiently. This article proposes a novel metaheuristic approach for gene feature extraction,...

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