eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines

BACKGROUND: Enhancers are tissue specific distal regulation elements, playing vital roles in gene regulation and expression. The prediction and identification of enhancers are important but challenging issues for bioinformatics studies. Existing computational methods, mostly single classifiers, can...

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Detalles Bibliográficos
Autores principales: Huang, Fang, Shen, Jiawei, Guo, Qingli, Shi, Yongyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226099/
https://www.ncbi.nlm.nih.gov/pubmed/28096768
http://dx.doi.org/10.1186/s41065-016-0012-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226099/
https://www.ncbi.nlm.nih.gov/pubmed/28096768
http://dx.doi.org/10.1186/s41065-016-0012-2

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