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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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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Oxford University Press
2014
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4066759/ https://ncbi.nlm.nih.gov/pubmed/24771344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gku325 |
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