Author

Yong Wang

ORCID 0000-0001-8772-7349Unclaimed ORCID profile · follow to get notified of new preprints

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Yong Wang11 papers · Pennsylvania State University

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Catherine A. Ball· 2 shared Jake ByrnesiD· 2 shared Abeer S. MadboulyiD· 1 shared Alisa Sedghifar· 1 shared Antoine LizéeiD· 1 shared Chao ZhaoiD· 1 shared Chris J. Lin· 1 shared David A. TurissiniiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenomics

Catherine A. Ball

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2 papers

Recent·Most cited

Ancestry Inference Using Reference Labeled Clusters of Haplotypes

Yong Wang, Shiya Song, Joshua G. Schraiber, Alisa Sedghifar, Jake Byrnes, David A. Turissini, Eurie L. Hong, Catherine A. Ball, Keith Noto

ARCHes infers ancestry composition using haplotype-based models, outperforming RFMix in global and local ancestry assignment across diverse populations.

BMC Bioinformatics · Sep 25, 2021Peer-reviewedGenomics

Multiple Measures Reveal The Value of Both Race And Geographic Ancestry For Self-Identification

Vincent Damotte, Chao Zhao, Chris J. Lin, Eric Williams, Yoram Louzoun, Abeer S. Madbouly, Rochelle Kotlarz, Marisa McDaniel, Paul J. Norman, Antoine Lizée, Natalie M. Myres, Catherine A. Ball, Kenneth G. Chahine, Jake Byrnes, Yong Wang, , Jill A. Hollenbach

The paper examines how self-reported race and geographic ancestry relate to genetic data in a large U.S. cohort, finding that combining both measures better reflects genetic ancestry than either alone.

bioRxiv · Jul 13, 2019 · PreprintGenetics