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A predictive model for secondary RNA structure using graph theory and a neural network
BACKGROUND: Determining the secondary structure of RNA from the primary structure is a challenging computational problem. A number of algorithms have been developed to predict the secondary structure from the primary structure. It is agreed that there is still room for improvement in each of these a...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026369/ https://www.ncbi.nlm.nih.gov/pubmed/20946605 http://dx.doi.org/10.1186/1471-2105-11-S6-S21 |