EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning

Authors

Inuk Jung (ORCID: https://orcid.org/0000-0003-0675-4244)
Jaemin Jeon
Hye-Yeong Jo
Sang Cheol Kim (ORCID: https://orcid.org/0000-0002-1749-8277)
Kwangsoo Kim (ORCID: https://orcid.org/0000-0002-4586-5062)
Sangam Lee (ORCID: https://orcid.org/0009-0000-2479-7606)
Suwan Yu

Institutions

Seoul National University (KR)
Yonsei University (KR)
New Generation University College (ET)
Seoul National University Hospital (KR)
Kyungpook National University (KR)
Korea National Institute of Health (KR)

Publication Details

Journal: Bioinformatics
Published: 2025-02-21
DOI: https://doi.org/10.1093/bioinformatics/btaf080
Primary Topic: vaccines and immunoinformatics approaches
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Research Foundation of Korea
Korea National Institute of Health

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article

EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning

Inuk Jung, Jaemin Jeon, Hye-Yeong Jo, Sang Cheol Kim et al.

Feb 21, 2025

Bioinformatics

vaccines and immunoinformatics approaches

article

EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning

Inuk Jung, Jaemin Jeon, Hye-Yeong Jo, Sang Cheol Kim, Kwangsoo Kim, Sangam Lee, Suwan Yu

February 21, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(3)

Seoul National University (KR), Yonsei University (KR), New Generation University College (ET), Seoul National University Hospital (KR), Kyungpook National University (KR), Korea National Institute of Health (KR)

National Research Foundation of Korea, Korea National Institute of Health

Good health and well-being

Openalex Percentile: Top 97%

vaccines and immunoinformatics approaches

DOI Open Access PDF OpenAlex

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