Author

Victor Hanson-Smith

Verge Genomics (United States)ORCID 0000-0002-1699-8712Unclaimed ORCID profile · follow to get notified of new preprints

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:variational autoencoder· 1

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Alice ZhangiD· 1 shared David LamparteriD· 1 shared Katja HebestreitiD· 1 shared Rajat BhatnagariD· 1 shared T. Grant BelgardiD· 1 shared

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2020-2020 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperGenetics

Alice ZhangORCID

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1 paper

Recent·Most cited

A Framework for Integrating Directed and Undirected Annotations to Build Explanatory Models of cis-eQTL Data.

David Lamparter, Rajat Bhatnagar, Katja Hebestreit, T. Grant Belgard, Alice Zhang, Victor Hanson-Smith

This paper introduces BAGEA, a Bayesian framework for analyzing cis-eQTL data using genomic annotations, showing it can predict up to 5% of expression variance for top-effect genes.

PLoS Computational Biology · Jun 9, 2020Peer-reviewedGenetics