Relational Database-Based Resource-Provenance Visualization Engine: with an application to BICAN data.

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Bibliographic Details
Title: Relational Database-Based Resource-Provenance Visualization Engine: with an application to BICAN data.
Authors: Li X; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Huang Y; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Ng L; Allen Institute for Brain Science, Seattle, WA 98109, USA., Smith KA; Allen Institute for Brain Science, Seattle, WA 98109, USA., Chou WC; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Abeysinghe R; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Tong L; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Lin S; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Cui L; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Tao S; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA., Zhang GQ; The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.
Source: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2025 May 22; Vol. 2024, pp. 754-763. Date of Electronic Publication: 2025 May 22 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: American Medical Informatics Association Country of Publication: United States NLM ID: 101209213 Publication Model: eCollection Cited Medium: Internet ISSN: 1942-597X (Electronic) Linking ISSN: 15594076 NLM ISO Abbreviation: AMIA Annu Symp Proc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1942-597X