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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Detalles Bibliográficos
Autores principales: Lertampaiporn, Supatcha, Thammarongtham, Chinae, Nukoolkit, Chakarida, Kaewkamnerdpong, Boonserm, Ruengjitchatchawalya, Marasri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592496/
https://www.ncbi.nlm.nih.gov/pubmed/23012261
http://dx.doi.org/10.1093/nar/gks878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592496/
https://www.ncbi.nlm.nih.gov/pubmed/23012261
http://dx.doi.org/10.1093/nar/gks878

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