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Cancer microarray data feature selection using multi-objective binary particle swarm optimization algorithm
Cancer investigations in microarray data play a major role in cancer analysis and the treatment. Cancer microarray data consists of complex gene expressed patterns of cancer. In this article, a Multi-Objective Binary Particle Swarm Optimization (MOBPSO) algorithm is proposed for analyzing cancer gen...
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| Publicado no: | EXCLI J |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Leibniz Research Centre for Working Environment and Human Factors
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5083964/ https://ncbi.nlm.nih.gov/pubmed/27822174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.17179/excli2016-481 |
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