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Caveats to Deep Learning Approaches to RNA Secondary Structure Prediction
Machine learning (ML) and in particular deep learning techniques have gained popularity for predicting structures from biopolymer sequences. An interesting case is the prediction of RNA secondary structures, where well established biophysics based methods exist. The accuracy of these classical metho...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580944/ https://www.ncbi.nlm.nih.gov/pubmed/36304289 http://dx.doi.org/10.3389/fbinf.2022.835422 |