Benchmarking infrastructure for mutation text mining

BACKGROUND: Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems. RESULTS: We propose a community-oriented annotation and ben...

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Detalles Bibliográficos
Autores principales: Klein, Artjom, Riazanov, Alexandre, Hindle, Matthew M, Baker, Christopher JO
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3939821/
https://www.ncbi.nlm.nih.gov/pubmed/24568600
http://dx.doi.org/10.1186/2041-1480-5-11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3939821/
https://www.ncbi.nlm.nih.gov/pubmed/24568600
http://dx.doi.org/10.1186/2041-1480-5-11

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