Author

Ping Yang

Mayo ClinicORCID 0000-0002-8588-847XUnclaimed ORCID profile · follow to get notified of new preprints

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Ping Yang4 papers · Huazhong University of Science and Technology

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Li LiuiD· 3 shared Panwen WangiD· 3 shared Changxin Shi· 2 shared Hai CheniD· 2 shared Jingmin Shu· 2 shared Peter Leif BergsageliD· 2 shared Rekha MudappathiiD· 2 shared Zhifu SuniD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersBioinformatics

Li LiuORCID

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3 papers

Recent·Most cited

Germline regulation of tumor evolutionary dynamics shapes multiple myeloma progression

Hai Chen, Jingmin Shu, Rekha Mudappathi, Panwen Wang, Peter Leif Bergsagel, Ping Yang, Zhifu Sun, Changxin Shi, Li Liu

This study links germline variation to tumor evolutionary dynamics in multiple myeloma, identifying TBKBP1 as a mediator of subclonal expansion and clinical outcomes.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics

ceQTL: A co-expression QTL model to detect a variant that affects transcription factor binding and its target regulation

Panwen Wang, Yanxi Chen, Yong Liu, Li Liu, Ping Yang, Junwen Wang, Zhifu Sun

The paper introduces ceQTL, a method to detect eQTLs that affect transcription factor binding and target gene regulation using differential co-expression analysis.

Briefings in Bioinformatics · May 1, 2026Peer-reviewedBioinformatics

Competing Subclones and Fitness Diversity Shape Tumor Evolution Across Cancer Types

Hai Chen, Jingmin Shu, Rekha Mudappathi, Elaine Li, Panwen Wang, Peter Leif Bergsagel, Ping Yang, Z Sun, Logan Zhao, Changxin Shi, Jeffrey P Townsend, Carlo C. Maley, Li Liu

TEATIME estimates evolutionary parameters and fitness diversity from bulk sequencing data, revealing patterns of intratumor heterogeneity across 33 cancer types.

Bioinformatics · Feb 28, 2026Peer-reviewedBioinformatics