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RNA secondary structure prediction with convolutional neural networks
BACKGROUND: Predicting the secondary, i.e. base-pairing structure of a folded RNA strand is an important problem in synthetic and computational biology. First-principle algorithmic approaches to this task are challenging because existing models of the folding process are inaccurate, and even if a pe...
Autores principales: | Saman Booy, Mehdi, Ilin, Alexander, Orponen, Pekka |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812003/ https://www.ncbi.nlm.nih.gov/pubmed/35109787 http://dx.doi.org/10.1186/s12859-021-04540-7 |
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