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The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification.

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

Mathematical Medicine and Biology : a Journal of the IMA
|February 26, 2008
PubMed
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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.

Failed At:

2026-06-19T13:36:09.159612+00:00

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