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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...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2010
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3026369/ https://ncbi.nlm.nih.gov/pubmed/20946605 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-S6-S21 |
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