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Automatic extraction of gene-disease associations from literature using joint ensemble learning
A wealth of knowledge concerning relations between genes and its associated diseases is present in biomedical literature. Mining these biological associations from literature can provide immense support to research ranging from drug-targetable pathways to biomarker discovery. However, time and cost...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6061985/ https://ncbi.nlm.nih.gov/pubmed/30048465 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0200699 |
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