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...

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Detalles Bibliográficos
Autores principales: Flamm , Christoph, Wielach, Julia, Wolfinger, Michael T., Badelt, Stefan, Lorenz, Ronny, Hofacker, Ivo L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioinformatics
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

Internet

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

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