Author
University of MichiganORCID 0000-0002-6174-9002Unclaimed ORCID profile · follow to get notified of new preprints
Mutual co-authors in cluster
5 papers
Recent·Most cited
Dong‐Eun Kim, Megan Hauptman, Matthew T. Patrick
The paper introduces Quanta, a hybrid system combining large language models with evaluation metrics to improve accuracy and efficiency in processing biomedical text for dermatology.
bioRxiv · Aug 14, 2025 · PreprintBioinformatics
Gideon Shaked, Haihan Zhang, Zhaolin Zhang, Jiayu Zhou, Johann Eli Gudjonsson, James T Elder, Matthew T. Patrick, Lam C. Tsoi
Loopsim performs enrichment analysis on Hi-C loop profiles by simulating empirical null distributions to assess statistical significance of loop features.
NAR Genomics and Bioinformatics · Jul 4, 2025Peer-reviewedBioinformatics
Nick Dand, Philip E. Stuart, John Bowes, David Ellinghaus, Joanne Nititham, Jake R. Saklatvala, Maris Teder‐Laving, Laurent F. Thomas, Tanel Traks, Steffen Uebe, Gunter Assmann, David Baudry, Frank Behrens, Allison C. Billi, Matthew Arthur Brown, , James T. Elder
This study performs a GWAS meta-analysis of psoriasis, identifying 109 susceptibility loci, including 45 new ones, and highlights potential therapeutic targets and disease mechanisms.
Nature Communications · Feb 28, 2025Peer-reviewedGenetic & Genomic Medicine
Meritxell Oliva, Mrinal K. Sarkar, Michael March, Amir Hossein Saeidian, Frank D. Mentch, Chen-Lin Hsieh, Fanying Tang, Ranjitha Uppala, Matthew T. Patrick, Qinmengge Li, Rachael Wasikowski, Joanne Michelle Kahlenberg, Deborah J. Watson, Joseph Glessner, Lam C. Tsoi, , Bridget M. Riley-Gillis
This study conducts a multi-ancestry GWAS meta-analysis of 56,146 AD cases and 602,280 controls, identifying 101 genomic loci, 15 novel to AD or eczema, and linking them to AD pathophysiology through functional analyses.
medRxiv · Jun 17, 2024 · PreprintGenetic & Genomic Medicine
Sini Nagpal, Xiaoran Meng, Michael P. Epstein, Lam C. Tsoi, Matthew T. Patrick, Greg C. Gibson, Philip L. De Jager, David Alan Bennett, Aliza P. Wingo, Thomas S. Wingo, Jingjing Yang
The paper introduces a Bayesian method for transcriptomic data imputation that improves gene mapping of complex traits by enhancing imputation accuracy and TWAS power over existing tools.
The American Journal of Human Genetics · Jun 20, 2019Peer-reviewedGenetics