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Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classification
An ensemble classifier approach for microRNA precursor (pre-miRNA) classification was proposed based upon combining a set of heterogeneous algorithms including support vector machine (SVM), k-nearest neighbors (kNN) and random forest (RF), then aggregating their prediction through a voting system. A...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3592496/ https://ncbi.nlm.nih.gov/pubmed/23012261 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gks878 |
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