Visualizing aggregated biological pathway relations

Byron Marshall, Karin Quiñones, Hua Su, Shauna Eggers, Hsinchun Chen

Research output: Contribution to journalConference articlepeer-review

Abstract

The Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway relations that is intended to help researchers identify and process relevant information from the vast digital library of abstracts found in the National Library of Medicine's PubMed collection. Users view extracted relations at various levels of relational granularity in an interactive and visual node-link interface. Anecdotal feedback reported here suggests that this multigranular visual paradigm aligns well with various research tasks, helping users find relevant articles and discover new information.

Original languageEnglish (US)
Pages (from-to)67-68
Number of pages2
JournalProceedings of the ACM/IEEE Joint Conference on Digital Libraries
DOIs
StatePublished - 2005
Event5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education - Denver, CO, United States
Duration: Jun 7 2005Jun 11 2005

Keywords

  • Biological Pathway Relations
  • Knowledge Aggregation
  • Visualization

ASJC Scopus subject areas

  • Engineering(all)

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