RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

The majority of our human genome transcribes into noncoding RNAs with unknown structures and functions. Obtaining functional clues for noncoding RNAs requires accurate base-pairing or secondary-structure prediction. However, the performance of such predictions by current folding-based algorithms has...

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Detalles Bibliográficos
Autores principales: Singh, Jaswinder, Hanson, Jack, Paliwal, Kuldip, Zhou, Yaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881452/
https://www.ncbi.nlm.nih.gov/pubmed/31776342
http://dx.doi.org/10.1038/s41467-019-13395-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881452/
https://www.ncbi.nlm.nih.gov/pubmed/31776342
http://dx.doi.org/10.1038/s41467-019-13395-9

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