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SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature

BACKGROUND: Single Nucleotide Polymorphisms (SNPs) are among the most important types of genetic variations influencing common diseases and phenotypes. Recently, some corpora and methods have been developed with the purpose of extracting mutations and diseases from texts. However, there is no availa...

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Detalles Bibliográficos
Autores principales:	Bokharaeian, Behrouz, Diaz, Alberto, Taghizadeh, Nasrin, Chitsaz, Hamidreza, Chavoshinejad, Ramyar
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383945/ https://www.ncbi.nlm.nih.gov/pubmed/28388928 http://dx.doi.org/10.1186/s13326-017-0116-2

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