Author

Brittany G. Travers

University of Wisconsin–MadisonORCID 0000-0002-8161-3858Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:large language model· 1 Approach:statistical model· 1

Frequent Co-Authors

Aviral Bal· 1 shared Bethany M. MooreiD· 1 shared Boyang LiiD· 1 shared Cannon Lock· 1 shared Chitrasen MohantyiD· 1 shared Darcie L. MooreiD· 1 shared Donna M. WerlingiD· 1 shared Hongyu ZhaoiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aviral Bal

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2 papers

Recent·Most cited

Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis

Bethany M. Moore, Jack Freeman, Robert J. Millikin, Chitrasen Mohanty, Kevin W. George, Aviral Bal, Cannon Lock, John‐Demian Sauer, Megan E. Spurgeon, Darcie L. Moore, Brittany G. Travers, Ron M. Stewart

This paper introduces KM-GPT-DCH, a method using LLMs and Bayesian analysis to evaluate and compare biomedical hypotheses by analyzing scientific literature.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics

Local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits

Yiliang Zhang, Qiongshi Lu, Yixuan Ye, Kunling Huang, Wei Liu, Yuchang Wu, Xiaoyuan Zhong, Boyang Li, Zhaolong Yu, Brittany G. Travers, Donna M. Werling, James J. Li, Hongyu Zhao

This study introduces SUPERGNOVA, a framework for estimating local genetic correlations, and identifies 150 trait pairs with significant local genetic correlations, including autism spectrum disorder and cognitive performance.

Genome biology · Sep 7, 2021Peer-reviewedGenetics