Author

Bowang Chen

ORCID 0000-0002-9447-0948Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Xiaoyun HuangiD· 3 shared Junya Yan· 2 shared Yanyan ZhuiD· 2 shared Fengmin ShaoiD· 1 shared Martin C. S. WongiD· 1 shared Miaomiao JiangiD· 1 shared Na SuniD· 1 shared Pengli Dou· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersSystems Biology

Xiaoyun HuangORCID

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3 papers

Recent·Most cited

Pan-Cancer Driver Mutation Signatures Define a Molecular Taxonomy of Tumors

Xiaoyun Huang, Bowang Chen, Xiaoqing Huang, Martin C. S. Wong

This paper defines driver mutation signatures across cancers to classify tumors molecularly and link driver mutations to therapeutic vulnerabilities.

bioRxiv · Jun 18, 2026 · PreprintCancer Biology

BNIP3 upregulation characterizes cancer cell subpopulation with increased fitness and proliferation

Yanyan Zhu, Bowang Chen, Junya Yan, Wendi Zhao, Pengli Dou, Na Sun, Yaokai Wang, Xiaoyun Huang

The paper identifies BNIP3 upregulation in cancer cell subpopulations associated with increased fitness and proliferation using single-cell data and organoid models.

Frontiers in Oncology · Jul 13, 2022Peer-reviewedSystems Biology

Patient stratification of clear cell renal cell carcinoma using the global transcription factor activity landscape derived from RNA-seq data

Yanyan Zhu, Shundong Cang, Bowang Chen, Yue Gu, Miaomiao Jiang, Junya Yan, Fengmin Shao, Xiaoyun Huang

This study stratifies clear cell renal cell carcinoma patients using transcription factor activity derived from RNA-seq data to predict prognosis and identify subtypes with distinct biomarkers and pathways.

Frontiers in Oncology · Dec 4, 2020Peer-reviewedSystems Biology