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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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| I publikationen: | Hereditas |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5226099/ https://ncbi.nlm.nih.gov/pubmed/28096768 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41065-016-0012-2 |
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