Comparative performance analysis of neoepitope prediction algorithms in head and neck cancer
Our work underscores the improved predictive ability of IPV in comparison to TESLA in this assay system and highlights the need to clearly define which experimental metrics are used to evaluate bioinformatic epitope predictions.
Authors
- Stephen Philip Schoenberger (ORCID: https://orcid.org/0000-0002-9870-7340)
- Bjoern Peters (ORCID: https://orcid.org/0000-0002-8457-6693)
- Julie G. Burel (ORCID: https://orcid.org/0000-0003-1692-2758)
- Leila Y. Chihab
- Sebastian Joyce (ORCID: https://orcid.org/0000-0002-3183-1451)
- Luise Westernberg
- Zeynep Koşaloğlu (ORCID: https://orcid.org/0000-0003-0961-5055)
- Jason Greenbaum (ORCID: https://orcid.org/0000-0002-1381-0390)
- Michael Korrer (ORCID: https://orcid.org/0000-0001-8477-8810)
- Young J. Kim (ORCID: https://orcid.org/0000-0003-2159-4832)
- Aaron M. Miller (ORCID: https://orcid.org/0000-0001-9834-428X)
- Brandee T. Brown
Institutions
- La Jolla Institute for Immunology (US)
- Regeneron (United States) (US)
- Vanderbilt University (US)
- University of California San Diego (US)
- VA Tennessee Valley Healthcare System (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-03-04
- DOI
- https://doi.org/10.3389/fimmu.2025.1494453
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.00