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.
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University of MichiganORCID 0000-0002-9793-535XUnclaimed ORCID profile · follow to get notified of new preprints
6 papers
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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.
Anthony Huffman, Feng-Yu Yeh, Junguk Hur…·Yongqun He
The paper introduces a common data model and databases for integrating heterogeneous biomedical data, enabling cross-domain analysis and revealing sex-specific immune response insights.
Alexandr A. Kalinin, Xinhai Hou, Alex S. Ade…·Brian D. Athey
This study quantifies 4D nuclear morphology changes in human astrocytes treated with valproic acid, showing significant size and shape differences by day 7.
Alexandr A. Kalinin, Ari Allyn-Feuer, Alex S. Ade…·Ivo D. Dinov
The paper develops a 3D morphometric analysis pipeline for cell nuclei and nucleoli, achieving high classification accuracy in prostate cancer and fibroblast cells.
Alexandr A. Kalinin, Brian D. Athey, Ivo D. Dinov
The paper compares nuclear structure classification methods using 2D microscopy data from a 3D dataset, evaluating classification algorithms on raw intensity images and binary masks.
Alexandr A. Kalinin, Ari Allyn-Feuer, Alex S. Ade…·Ivo D. Dinov
The paper introduces a 3D cell nuclear morphology dataset and evaluates classification algorithms using voxel-based morphometric measures.