A framework for exploring associations between biomedical terms in PubMed

Co-occurrence relationships in PubMed between terms accelerate the recognition of term associations. The lack of manually curated relationships in vocabularies and the rapid increase of biomedical literatures highlight the importance of co-occurrence relationships. Here we proposed a framework to ex...

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Detalles Bibliográficos
Autores principales: Yang, Haixiu, Zhao, Lingling, Zhang, Ying, Ju, Hong, Wang, Dong, Hu, Yang, Zhang, Jun, Cheng, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732714/
https://www.ncbi.nlm.nih.gov/pubmed/29262548
http://dx.doi.org/10.18632/oncotarget.21532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732714/
https://www.ncbi.nlm.nih.gov/pubmed/29262548
http://dx.doi.org/10.18632/oncotarget.21532

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