Semantically linking molecular entities in literature through entity relationships

BACKGROUND: Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios. Studies of mining non-causal molec...

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Detalles Bibliográficos
Autores principales: Van Landeghem, Sofie, Björne, Jari, Abeel, Thomas, De Baets, Bernard, Salakoski, Tapio, Van de Peer, Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384255/
https://www.ncbi.nlm.nih.gov/pubmed/22759460
http://dx.doi.org/10.1186/1471-2105-13-S11-S6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384255/
https://www.ncbi.nlm.nih.gov/pubmed/22759460
http://dx.doi.org/10.1186/1471-2105-13-S11-S6

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