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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940434/ https://www.ncbi.nlm.nih.gov/pubmed/27402677 http://dx.doi.org/10.1093/database/baw067 |