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Predicting the impact of single nucleotide variants on splicing via sequence-based deep neural networks and genomic features
Single nucleotide mutations in exonic regions can significantly affect gene function through a disruption of splicing, and various computational methods have been developed to predict the splicing-related effects of a single nucleotide mutation. We implemented a new method using ensemble learning th...
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| Publicado no: | Hum Mutat |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7265986/ https://ncbi.nlm.nih.gov/pubmed/31090248 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.23794 |
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