Author

Miaoyan Wang

University of California, BerkeleyORCID 0000-0002-1287-3787Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Daniel I. BolnickiD· 1 shared Jesse N. WeberiD· 1 shared Jiaxin HuiD· 1 shared Jonathan D. FischeriD· 1 shared Lauren E. FuessiD· 1 shared Natalie C. SteineliD· 1 shared Yun S. SongiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperGenetics

Daniel I. BolnickORCID

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2 papers

Recent·Most cited

A spectral framework to map QTLs affecting joint differential networks of gene co-expression

Jiaxin Hu, Jesse N. Weber, Lauren E. Fuess, Natalie C. Steinel, Daniel I. Bolnick, Miaoyan Wang

The paper introduces snQTL, a network-based method to map QTLs affecting gene co-expression networks, demonstrating its effectiveness in stickleback data by uncovering missed candidate genes.

PLoS Computational Biology · Apr 17, 2025Peer-reviewedGenetics

Three-way clustering of multi-tissue multi-individual gene expression data using constrained tensor decomposition

Miaoyan Wang, Jonathan D. Fischer, Yun S. Song

The paper introduces MultiCluster, a tensor decomposition method for analyzing multi-tissue gene expression data, showing improved accuracy and speed over existing methods.

bioRxiv · Dec 5, 2017 · PreprintGenomics