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Method of predicting Splice Sites based on signal interactions
BACKGROUND: Predicting and proper ranking of canonical splice sites (SSs) is a challenging problem in bioinformatics and machine learning communities. Any progress in SSs recognition will lead to better understanding of splicing mechanism. We introduce several new approaches of combining a priori kn...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2006
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1526722/ https://ncbi.nlm.nih.gov/pubmed/16584568 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1745-6150-1-10 |
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