A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature

  title={A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature},
  author={{\`A}lex Bravo and Montserrat Cases and N{\'u}ria Queralt-Rosinach and Ferran Sanz and Laura In{\'e}s Furlong},
  booktitle={BioMed research international},
The biomedical literature represents a rich source of biomarker information. However, both the size of literature databases and their lack of standardization hamper the automatic exploitation of the information contained in these resources. Text mining approaches have proven to be useful for the exploitation of information contained in the scientific publications. Here, we show that a knowledge-driven text mining approach can exploit a large literature database to extract a dataset of… CONTINUE READING
Highly Cited
This paper has 30 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 2 times over the past 90 days. VIEW TWEETS

From This Paper

Topics from this paper.
17 Citations
20 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 17 extracted citations


Publications referenced by this paper.
Showing 1-10 of 20 references

Mining PubMed for biomarker-disease associations to guide discovery

  • W. J. Jessen, K. T. Landschulz, T. G. Turi, R. Y. Reams
  • Nature Precedings, 2012.
  • 2012

Similar Papers

Loading similar papers…