Author

Min Hua

National Institutes of Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Bin ZhuiD· 1 shared Difei WangiD· 1 shared Donghyuk LeeiD· 1 shared Jianxin ShiiD· 1 shared Kai F. YuiD· 1 shared Lei SongiD· 1 shared Maria Teresa LandiiD· 1 shared Stephen Jacob ChanockiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Bin ZhuORCID

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1 paper

Recent·Most cited

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

Donghyuk Lee, Min Hua, Difei Wang, Lei Song, Tongwu Zhang, Xing Hua, Kai F. Yu, Xiaohong Rose Yang, Stephen Jacob Chanock, Jianxin Shi, Maria Teresa Landi, 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.

medRxiv · May 18, 2023 · PreprintGenetic & Genomic Medicine