Cancer classification in high dimensional microarray gene expressions by feature selection using eagle prey optimization

Microarray gene expression data have emerged as powerful tools in cancer classification and diagnosis. However, the high dimensionality of these datasets presents significant challenges for feature selection, leading to the development of various computational methods. In this paper, we utilized the...

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Bibliographic Details

Published in:	Frontiers in Genetics
Main Authors:	Swetha Dhamercherla, Damodar Reddy Edla, Suresh Dara
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-03-01
Subjects:	feature optimization microarray gene selection cancer classification meta-heuristic optimization feature selection
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2025.1528810/full