A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization

Research article (Genomics, 2016) · cited 134× · AI/ML
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A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization

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A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-gene-selection-approach-for-microarray-data-classification-using-cellular-learning-automata-and-ant-colony-opti
MLA “A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-gene-selection-approach-for-microarray-data-classification-using-cellular-learning-automata-and-ant-colony-opti.
BibTeX @misc{4ortxyz_a-hybrid-gene-selection-approach-for-microarray-data-classification-using-cellular-learning-automata-and-ant-colony-opti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-gene-selection-approach-for-microarray-data-classification-using-cellular-learning-automata-and-ant-colony-opti}, note = {Accessed: 2026-05-24}}
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