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BioCreative V track 4: a shared task for the extraction of causal network information using the Biological Expression Language

Automatic extraction of biological network information is one of the most desired and most complex tasks in biological and medical text mining. Track 4 at BioCreative V attempts to approach this complexity using fragments of large-scale manually curated biological networks, represented in Biological...

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Detalhes bibliográficos
Publicado no:Database (Oxford)
Main Authors: Rinaldi, Fabio, Ellendorff, Tilia Renate, Madan, Sumit, Clematide, Simon, van der Lek, Adrian, Mevissen, Theo, Fluck, Juliane
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4940434/
https://ncbi.nlm.nih.gov/pubmed/27402677
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/baw067
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