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A sequence-based, deep learning model accurately predicts RNA splicing branchpoints
Experimental detection of RNA splicing branchpoints is difficult. To date, high-confidence experimental annotations exist for 18% of 3′ splice sites in the human genome. We develop a deep-learning-based branchpoint predictor, LaBranchoR, which predicts a correct branchpoint for at least 75% of 3′ sp...
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| Publicado no: | RNA |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cold Spring Harbor Laboratory Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6239175/ https://ncbi.nlm.nih.gov/pubmed/30224349 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1261/rna.066290.118 |
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