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Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data
BACKGROUND: DNA microarray gene expression classification poses a challenging task to the machine learning domain. Typically, the dimensionality of gene expression data sets could go from several thousands to over 10,000 genes. A potential solution to this issue is using feature selection to reduce...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Australasian Medical Journal
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3674418/ https://ncbi.nlm.nih.gov/pubmed/23745148 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4066/AMJ.2013.1641 |
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