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DiMeX: A Text Mining System for Mutation-Disease Association Extraction
The number of published articles describing associations between mutations and diseases is increasing at a fast pace. There is a pressing need to gather such mutation-disease associations into public knowledge bases, but manual curation slows down the growth of such databases. We have addressed this...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4830514/ https://ncbi.nlm.nih.gov/pubmed/27073839 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0152725 |
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