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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...

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Detalles Bibliográficos
Autores principales: Tran, Tung, Kavuluru, Ramakanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
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