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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...
Tallennettuna:
| Julkaisussa: | J Biol Res (Thessalon) |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | 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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