Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithm

To identify non-coding RNA (ncRNA) signals within genomic regions, a classification tool was developed based on a hybrid random forest (RF) with a logistic regression model to efficiently discriminate short ncRNA sequences as well as long complex ncRNA sequences. This RF-based classifier was trained...

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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 2014
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066759/
https://www.ncbi.nlm.nih.gov/pubmed/24771344
http://dx.doi.org/10.1093/nar/gku325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066759/
https://www.ncbi.nlm.nih.gov/pubmed/24771344
http://dx.doi.org/10.1093/nar/gku325

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