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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...
Autores principales: | Yang, Haixiu, Zhao, Lingling, Zhang, Ying, Ju, Hong, Wang, Dong, Hu, Yang, Zhang, Jun, Cheng, Liang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
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 |
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