Author

Ning Shen

University of British ColumbiaORCID 0000-0002-2974-1086Unclaimed ORCID profile · follow to get notified of new preprints

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Ning Shen2 papers · Duke University

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Keegan D. KorthaueriD· 2 shared Bowen HuiD· 1 shared Hyunseung KangiD· 1 shared James J. LiiD· 1 shared Jan Steven Greenberg· 1 shared Jason M. FletcheriD· 1 shared Jinkuk HongiD· 1 shared Marsha Mailick SeltzeriD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Keegan D. KorthauerORCID

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3 papers

Recent·Most cited

decemedip: hierarchical Bayesian modeling for cell type deconvolution of immunoprecipitation-based DNA methylomes

Ning Shen, Ze Zhang, Sylvan C. Baca, Keegan D. Korthauer

The paper introduces decemedip, a Bayesian hierarchical model for cell type deconvolution of MeDIP-seq data, showing its accuracy and utility in identifying methylation signatures.

Communications Biology · Sep 18, 2026Peer-reviewedBioinformatics

vmrseq: Probabilistic Modeling of Single-cell Methylation Heterogeneity

Ning Shen, Keegan D. Korthauer

vmrseq detects variably methylated regions in single-cell DNA methylation data with improved accuracy and highlights methylation-gene expression correlations.

bioRxiv · Nov 20, 2023 · PreprintBioinformatics

Genome-wide association study reveals sex-specific genetic architecture of facial attractiveness

Bowen Hu, Ning Shen, James J. Li, Hyunseung Kang, Jinkuk Hong, Jason M. Fletcher, Jan Steven Greenberg, Marsha Mailick Seltzer, Qiongshi Lu

This study identifies sex-specific genetic variants associated with facial attractiveness using a genome-wide association approach in 3,928 samples.

PLoS Genetics · Apr 4, 2019Peer-reviewedGenetics