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Informative Gene Selection for Cancer Classification with Microarray Data Using a Metaheuristic Framework
OBJECTIVE: Cancer diagnosis is one of the most vital emerging clinical applications of microarray data. Due to the high dimensionality, gene selection is an important step for improving expression data classification performance. There is therefore a need for effective methods to select informative...
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| Publicado no: | Asian Pac J Cancer Prev |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
West Asia Organization for Cancer Prevention
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5980950/ https://ncbi.nlm.nih.gov/pubmed/29481013 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.22034/APJCP.2018.19.2.561 |
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