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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd.
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/ http://umpir.ump.edu.my/id/eprint/25365/1/An%20enhancement%20of%20binary%20particle%20swarm%20optimization.pdf |