Authors
Meliha Yetisgen-Yildiz, Wanda Pratt
Publication date
2006/12/1
Journal
Journal of Biomedical informatics
Volume
39
Issue
6
Pages
600-611
Publisher
Academic Press
Description
The explosive growth in biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. While researchers formulate new hypotheses to test, it is very important for them to identify connections to their work from other parts of the literature. However, the current volume of information has become a great barrier for this task and new automated tools are needed to help researchers identify new knowledge that bridges gaps across distinct sections of the literature. In this paper, we present a literature-based discovery system called LitLinker that incorporates knowledge-based methodologies with a statistical method to mine the biomedical literature for new, potentially causal connections between biomedical terms. We demonstrate LitLinker’s ability to capture novel and interesting connections between diseases and chemicals, drugs, genes, or molecular …
Total citations
Scholar articles
M Yetisgen-Yildiz, W Pratt - Journal of Biomedical informatics, 2006