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An end-to-end deep learning architecture for extracting protein–protein interactions affected by genetic mutations
The BioCreative VI Track IV (mining protein interactions and mutations for precision medicine) challenge was organized in 2017 with the goal of applying biomedical text mining methods to support advancements in precision medicine approaches. As part of the challenge, a new dataset was introduced for...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146129/ https://www.ncbi.nlm.nih.gov/pubmed/30239680 http://dx.doi.org/10.1093/database/bay092 |