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Machine learning for RNA 2D structure prediction benchmarked on experimental data
Since the 1980s, dozens of computational methods have addressed the problem of predicting RNA secondary structure. Among them are those that follow standard optimization approaches and, more recently, machine learning (ML) algorithms. The former were repeatedly benchmarked on various datasets. The l...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199776/ https://www.ncbi.nlm.nih.gov/pubmed/37096592 http://dx.doi.org/10.1093/bib/bbad153 |