Knowledge-based Data Integration
Knowledge-Based Data Integration is a data integration approach that leverages structured prior knowledge—such as ontologies, biological pathways, or domain-specific rules—to guide and constrain the integration of omics datasets, distinguishing it from data-driven or statistical integration methods by its reliance on curated, external biological knowledge to enhance interpretability and biological relevance.
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637
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273
Institutions
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2017–2026
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Parents
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TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources
Robert Stevens, Patricia Baker, Sean Bechhofer et al. · Bioinformatics · 2000 · 454 citations
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University of California San Diego
San Diego, United States
5 h-index
16 publications
365 citations

San Diego Supercomputer Center
San Diego, United States
4 h-index
11 publications
240 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
15 publications
355 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
4 h-index
23 publications
1.1K citations
Jackson Laboratory
Bar Harbor, United States
4 h-index
37 publications
2.4K citations
Oregon State University
Corvallis, United States
4 h-index
9 publications
415 citations

Universidad de Murcia
Murcia, Spain
3 h-index
8 publications
300 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
13 publications
387 citations
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11 publications · 390 citations
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8 publications · 763 citations
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3 publications · 162 citations
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2 publications · 85 citations
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