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Improving accuracy for cancer classification with a new algorithm for genes selection
BACKGROUND: Even though the classification of cancer tissue samples based on gene expression data has advanced considerably in recent years, it faces great challenges to improve accuracy. One of the challenges is to establish an effective method that can select a parsimonious set of relevant genes....
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3562261/ https://ncbi.nlm.nih.gov/pubmed/23148517 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-13-298 |
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