Visualizing aggregated biological pathway relations

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

doi:10.1145/1065385.1065400

Visualizing aggregated biological pathway relations

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

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

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 language	English (US)
Pages (from-to)	67-68
Number of pages	2
Journal	Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
DOIs	https://doi.org/10.1145/1065385.1065400
State	Published - 2005
Event	5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education - Denver, CO, United States Duration: Jun 7 2005 → Jun 11 2005

Keywords

Biological Pathway Relations
Knowledge Aggregation
Visualization

ASJC Scopus subject areas

General Engineering

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10.1145/1065385.1065400

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title = "Visualizing aggregated biological pathway relations",

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.",

keywords = "Biological Pathway Relations, Knowledge Aggregation, Visualization",

author = "Byron Marshall and Karin Qui{\~n}ones and Hua Su and Shauna Eggers and Hsinchun Chen",

year = "2005",

doi = "10.1145/1065385.1065400",

language = "English (US)",

pages = "67--68",

journal = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",

issn = "1552-5996",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education ; Conference date: 07-06-2005 Through 11-06-2005",

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TY - JOUR

T1 - Visualizing aggregated biological pathway relations

AU - Marshall, Byron

AU - Quiñones, Karin

AU - Su, Hua

AU - Eggers, Shauna

AU - Chen, Hsinchun

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Biological Pathway Relations

KW - Knowledge Aggregation

KW - Visualization

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U2 - 10.1145/1065385.1065400

DO - 10.1145/1065385.1065400

M3 - Conference article

AN - SCOPUS:27544437341

SN - 1552-5996

SP - 67

EP - 68

JO - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

JF - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

T2 - 5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education

Y2 - 7 June 2005 through 11 June 2005

ER -

Visualizing aggregated biological pathway relations

Abstract

Keywords

ASJC Scopus subject areas

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