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Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
BACKGROUND: Microarray technology allows biologists to monitor expression levels of thousands of genes among various tumor tissues. Identifying relevant genes for sample classification of various tumor types is beneficial to clinical studies. One of the most widely used classification strategies for...
Gardado en:
| Publicado en: | J Biol Res (Thessalon) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4943507/ https://ncbi.nlm.nih.gov/pubmed/27437198 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40709-016-0045-8 |
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