Author
Mark A. Musen
Stanford UniversityORCID 0000-0003-3325-793XUnclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2018-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 35 mutual co-author links6 papers
Recent·Most cited
- BioinformaticsScientific DataPeer-reviewed
VO: The Vaccine Ontology
Jie Zheng, Yu Lin, Anthony Huffman…·Yongqun Oliver He
The paper introduces the Vaccine Ontology (VO), a standardized framework for representing vaccines and related data, enhancing data integration and AI research.
3 citations - BioinformaticsScientific DataPeer-reviewed
A general strategy for generating expert-guided, simplified views of ontologies
Anita R. Caron, Aleix Puig-Barbe, Ellen M. Quardokus…·David Osumi-Sutherland
The paper presents tools to validate and simplify ontology term hierarchies for better usability in biomedical research.
5 citations - BioinformaticsScientific DataPeer-reviewed
Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph for Linked Open Data
Andreas Bueckle, Bruce W. Herr, Josef Hardi…·Katy Börner
The paper introduces the Human Reference Atlas Knowledge Graph, a large-scale linked data resource for biological entities, and describes its construction, deployment, and usage.
6 citations - BioinformaticsScientific DataPeer-reviewed
Specimen, Biological Structure, and Spatial Ontologies in Support of a Human Reference Atlas
Bruce W. Herr, Josef Hardi, Ellen M. Quardokus…·Katy Börner
This paper introduces the Common Coordinate Framework Ontology (CCFO) v2.0.1 to integrate specimen, biological structure, and spatial data for the Human Reference Atlas, enabling interoperability and programmatic access.
16 citations - BioinformaticsScientific ReportsPeer-reviewed
Interpretation of biological experiments changes with evolution of Gene Ontology and its annotations
Aurelie Tomczak, Jonathan Mortensen, Rainer Winnenburg…·Purvesh Khatri
The paper evaluates how changes in Gene Ontology (GO) and its annotations over time affect the results of GO enrichment analyses in disease studies.
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