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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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| Pubblicato in: | Asian Pac J Cancer Prev |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
West Asia Organization for Cancer Prevention
2018
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| Soggetti: | |
| Accesso online: | 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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