Deep learning models for RNA secondary structure prediction (probably) do not generalize across families

MOTIVATION: The secondary structure of RNA is of importance to its function. Over the last few years, several papers attempted to use machine learning to improve de novo RNA secondary structure prediction. Many of these papers report impressive results for intra-family predictions but seldom address...

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Detalles Bibliográficos
Autores principales: Szikszai, Marcell, Wise, Michael, Datta, Amitava, Ward, Max, Mathews, David H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364374/
https://www.ncbi.nlm.nih.gov/pubmed/35748706
http://dx.doi.org/10.1093/bioinformatics/btac415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364374/
https://www.ncbi.nlm.nih.gov/pubmed/35748706
http://dx.doi.org/10.1093/bioinformatics/btac415

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