Direct Inference of Base-Pairing Probabilities with Neural Networks Improves Prediction of RNA Secondary Structures with Pseudoknots

Existing approaches to predicting RNA secondary structures depend on how the secondary structure is decomposed into substructures, that is, the architecture, to define their parameter space. However, architecture dependency has not been sufficiently investigated, especially for pseudoknotted seconda...

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Detalles Bibliográficos
Autores principales: Akiyama, Manato, Sakakibara, Yasubumi, Sato, Kengo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690657/
https://www.ncbi.nlm.nih.gov/pubmed/36421829
http://dx.doi.org/10.3390/genes13112155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690657/
https://www.ncbi.nlm.nih.gov/pubmed/36421829
http://dx.doi.org/10.3390/genes13112155

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