A hybrid gene selection algorithm for microarray cancer classification using genetic algorithm and learning automata
Cancer classification is an important problem in cancer diagnosis and treatment. One of the most effective methods in cancer classification is gene selection. However, selecting a subset of genes which increases the classification accuracy is an NP-Hard problem. A variety of algorithms were proposed...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2017-01-01
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| coleção: | Informatics in Medicine Unlocked |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2352914817301284 |
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