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Updated: Jul 7, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
K R Robbins1, W Zhang, J K Bertrand
1Department of Animal and Dairy Science, The University of Georgia, Athens, GA 30602, USA. krobbin1@uga.edu
This study introduces the ant colony algorithm (ACA) for gene selection in complex disease diagnosis. The ACA efficiently identifies predictive gene subsets from noisy, high-dimensional data, improving diagnostic accuracy.
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2026-06-19T13:36:09.159612+00:00