CoMAGC: a corpus with multi-faceted annotations of gene-cancer relations

BACKGROUND: In order to access the large amount of information in biomedical literature about genes implicated in various cancers both efficiently and accurately, the aid of text mining (TM) systems is invaluable. Current TM systems do target either gene-cancer relations or biological processes invo...

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Detalles Bibliográficos
Autores principales: Lee, Hee-Jin, Shim, Sang-Hyung, Song, Mi-Ryoung, Lee, Hyunju, Park, Jong C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833657/
https://www.ncbi.nlm.nih.gov/pubmed/24225062
http://dx.doi.org/10.1186/1471-2105-14-323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833657/
https://www.ncbi.nlm.nih.gov/pubmed/24225062
http://dx.doi.org/10.1186/1471-2105-14-323

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