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LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models
2017
Bioinformatics
Motivation: Pathway models are valuable resources that help us understand the various mechanisms underpinning complex biological processes. Their curation is typically carried out through manual inspection of published scientific literature to find information relevant to a model, which is a laborious and knowledge-intensive task. Furthermore, models curated manually cannot be easily updated and maintained with new evidence extracted from the literature without automated support. Results: We
doi:10.1093/bioinformatics/btx774
pmid:29228271
fatcat:gx33npwxprd6rn3jk6coe677oa