Gene selection using hybrid multi-objective cuckoo search algorithm with evolutionary operators for cancer microarray data
Microarray data play a huge role in recognizing a proper cancer diagnosis and classification. In most microarray data set consist of thousands of genes, but the majority number of genes are irrelevant to the diseases. An efficient algorithm for gene selection becomes important to deal with large mic...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93428/1/MohdShahizanOthman2020_GeneSelectionUsingHybridMulti.pdf http://eprints.utm.my/id/eprint/93428/ http://dx.doi.org/10.1109/ACCESS.2020.3029890 |
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