Author

Byung‐Gee Kim

Seoul National UniversityORCID 0000-0002-3776-1001Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Inyoung KimiD· 1 shared Jinsung NohiD· 1 shared Junho ChungiD· 1 shared Sang Yoon Byun· 1 shared Sangyeup Kim· 1 shared Sangyoon Choi· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Inyoung KimORCID

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1 paper

Recent·Most cited

Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences

Inyoung Kim, Sang Yoon Byun, Sangyeup Kim, Sangyoon Choi, Jinsung Noh, Junho Chung, Byung‐Gee Kim

This paper introduces a deep learning-based method to analyze B cell receptor repertoires in COVID-19 patients and healthy subjects, enabling accurate clustering and classification of immune status changes.

bioRxiv · Aug 2, 2021 · PreprintBioinformatics