Author

Mingyuan Zhou

Johns Hopkins UniversityORCID 0000-0002-4253-2780Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Fangzheng XieiD· 1 shared Haoran ZhangiD· 1 shared Jacqueline ChouiD· 1 shared Jeffrey F. QuinniD· 1 shared Miranda V. HunteriD· 1 shared Richard Mark WhiteiD· 1 shared Wesley TanseyiD· 1 shared Yanxun XuiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Fangzheng XieORCID

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2 papers

Recent·Most cited

BayesTME: A unified statistical framework for spatial transcriptomics

Haoran Zhang, Miranda V. Hunter, Jacqueline Chou, Jeffrey F. Quinn, Mingyuan Zhou, Richard Mark White, Wesley Tansey

BayesTME is a Bayesian method for spatial transcriptomics that unifies analysis goals, outperforms existing methods, and identifies spatial transcriptional programs in human and zebrafish melanoma tissues.

bioRxiv · Jul 8, 2022 · PreprintBioinformatics

BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq Counts

Fangzheng Xie, Mingyuan Zhou, Yanxun Xu

BayCount infers tumor subclones from RNA-Seq counts by accounting for over-dispersion and provides biologically meaningful results without normalization.

The Annals of Applied Statistics · Sep 1, 2018Peer-reviewedBioinformatics