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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Bibliographische Detailangaben
Veröffentlicht in:Database (Oxford)
Hauptverfasser: Rinaldi, Fabio, Ellendorff, Tilia Renate, Madan, Sumit, Clematide, Simon, van der Lek, Adrian, Mevissen, Theo, Fluck, Juliane
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2016
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Original Article
Online Zugang: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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