Author

Anthony Huffman

University of MichiganORCID 0000-0002-0576-550XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Research Focus:database / resource· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:protein structure prediction· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Yongqun Oliver HeiD· 5 shared Anna Maria MasciiD· 3 shared Barry SmithiD· 2 shared Brian D. AtheyiD· 2 shared Cui TaoiD· 2 shared Edison OngiD· 2 shared Feng-Yu YehiD· 2 shared Guanming WuiD· 2 shared

Activity by Year

2020-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersBioinformatics

Yongqun Oliver HeORCID

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Author profile →

5 papers

Recent·Most cited

Immune Biomarkers, Profiles, and Responses: A Vaccine Ontology Perspective

Yongqun Oliver He, Anthony Huffman, Jie Zheng, Anna Maria Masci, Yu Lin, Barry Smith

The paper uses Vaccine Ontology to model immune biomarkers, profiles, and responses, enhancing classification and analysis of vaccine-induced immunity.

Journal of Biomedical Semantics · Jun 27, 2026Peer-reviewedImmunology

VO: The Vaccine Ontology

Jie Zheng, Yu Lin, Anthony Huffman, Anna Maria Masci, Rebecca Racz, Guanming Wu, Kallan Roan, Edison Ong, Sirarat Sarntivijai, Jie Hu, Eliyas K. Asfaw, Hayleigh Kahn, Xingxian Li, Xumeng Zhang, Joshua Monickaraj, , 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.

Scientific Data · Apr 30, 2026Peer-reviewedBioinformatics

SEA CDM: Study-Experiment-Assay Common Data Model and Databases for Cross-Domain Data Integration and Analysis

Anthony Huffman, Feng-Yu Yeh, Junguk Hur, Jie Zheng, Anna Maria Masci, Guanming Wu, Cui Tao, Brian D. Athey, 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.

Scientific Data · Jan 14, 2026Peer-reviewedBioinformatics

Vaxign-DL: A Deep Learning-based Method for Vaccine Design and its Evaluation

Yuhan Zhang, Anthony Huffman, Justin Johnson, Yongqun Oliver He

This paper introduces Vaxign-DL, a deep learning method for vaccine design, which achieves high accuracy in predicting vaccine candidates from bacterial sequences.

bioRxiv · Nov 29, 2023 · PreprintBioinformatics

COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning

Edison Ong, Mei U Wong, Anthony Huffman, Yongqun Oliver He

The paper predicts COVID-19 vaccine candidates using reverse vaccinology and machine learning, identifying the N and nsp3 proteins as potential targets.

Frontiers in Immunology · Jul 3, 2020Peer-reviewedBioinformatics