Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts

BACKGROUND: Automatic recognition of relations between a specific disease term and its relevant genes or protein terms is an important practice of bioinformatics. Considering the utility of the results of this approach, we identified prostate cancer and gene terms with the ID tags of public biomedic...

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Detalles Bibliográficos
Autores principales: Chun, Hong-Woo, Tsuruoka, Yoshimasa, Kim, Jin-Dong, Shiba, Rie, Nagata, Naoki, Hishiki, Teruyoshi, Tsujii, Jun'ichi
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764448/
https://www.ncbi.nlm.nih.gov/pubmed/17134477
http://dx.doi.org/10.1186/1471-2105-7-S3-S4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764448/
https://www.ncbi.nlm.nih.gov/pubmed/17134477
http://dx.doi.org/10.1186/1471-2105-7-S3-S4

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