Author

Un‐Beom Kang

ORCID 0000-0002-9246-4237Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Approach:wet-lab / biochemical assay· 1

Frequent Co-Authors

Byeongchan Lee· 1 shared Hyung-Wook Choi· 1 shared Jungkap ParkiD· 1 shared KyungGon KimiD· 1 shared Sangtae Kim· 1 shared Sunghyun HuhiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Byeongchan Lee

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2 papers

Recent·Most cited

msmu: a computational framework for provenance-aware mass spectrometry-based proteomics analysis

Hyung-Wook Choi, Byeongchan Lee, Un‐Beom Kang, Sunghyun Huh

msmu provides a provenance-aware framework for mass spectrometry-based proteomics analysis, enabling reproducible and interoperable data processing.

bioRxiv · Jan 8, 2026 · PreprintBioinformatics

DelPi Learns Generalizable Peptide-Signal Correspondence for Mass Spectrometry-Based Proteomics

Jungkap Park, KyungGon Kim, Un‐Beom Kang, Sangtae Kim

DelPi is a peptide identification framework that learns peptide-signal correspondence from raw spectra, improving interpretation across different acquisition methods while controlling false discovery.

bioRxiv · Jan 7, 2026 · PreprintBioinformatics