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Prediction of donor splice sites using random forest with a new sequence encoding approach
BACKGROUND: Detection of splice sites plays a key role for predicting the gene structure and thus development of efficient analytical methods for splice site prediction is vital. This paper presents a novel sequence encoding approach based on the adjacent di-nucleotide dependencies in which the dono...
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| Veröffentlicht in: | BioData Min |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4724119/ https://ncbi.nlm.nih.gov/pubmed/26807151 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-016-0086-4 |
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