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Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions
MOTIVATION: RNA-protein interactions are key effectors of post-transcriptional regulation. Significant experimental and bioinformatics efforts have been expended on characterizing protein binding mechanisms on the molecular level, and on highlighting the sequence and structural traits of RNA that im...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7355240/ https://ncbi.nlm.nih.gov/pubmed/32657407 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa456 |
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