An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data f...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd.
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/25365/1/An%20enhancement%20of%20binary%20particle%20swarm%20optimization.pdf http://umpir.ump.edu.my/id/eprint/25365/ https://doi.org/10.1186/1748-7188-8-15 https://doi.org/10.1186/1748-7188-8-15 |
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| Institution: | Universiti Malaysia Pahang |
| Language: | English |