Author

Donghyuk Lee

National Institutes of HealthORCID 0009-0005-8348-6564Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Approach:experimental assay· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Difei WangiD· 2 shared Jianxin ShiiD· 2 shared Maria Teresa LandiiD· 2 shared Xiaohong Rose YangiD· 2 shared Bin ZhuiD· 1 shared Bin ZhuiD· 1 shared Kai F. YuiD· 1 shared Lei SongiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Difei WangORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintMay 18, 2023

A real-world pan-cancer catalogue of mutational signatures from 111,711 tumors

Donghyuk Lee, Min Hua, Difei Wang…·Bin Zhu

This paper introduces SATS, a framework for mutational signature analysis in targeted sequencing data, and presents a pan-cancer catalogue of mutational signatures from 111,711 tumors.

2 citations

humanwhole-exome sequencing

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BioinformaticsPLoS Computational BiologyPeer-reviewedApr 4, 2022

SUITOR: selecting the number of mutational signatures through cross-validation

Donghyuk Lee, Difei Wang, Xiaohong Rose Yang…·Bin Zhu

SUITOR selects the optimal number of mutational signatures using cross-validation, improving accuracy over existing methods in cancer genomics.

8 citations

whole-genome sequencingstatistical model

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