Author

Liza J. Ray

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alex David· 1 shared Alexander R. AbbasiD· 1 shared Alice M. WalshiD· 1 shared Andrew Stirn· 1 shared Ariel R. Brumbaugh· 1 shared Candace SavoneniD· 1 shared Darren Hui· 1 shared Gregory Koytiger· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Alex David

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1 paper

Recent·Most cited

Generative genomics accurately predicts future experimental results

Gregory Koytiger, Alice M. Walsh, Vaishali Marar, Kayla A Johnson, Max R. Highsmith, Alexander R. Abbas, Andrew Stirn, Ariel R. Brumbaugh, Alex David, Darren Hui, Jeffrey M. Kahn, Sheng-Yong Niu, Liza J. Ray, Candace Savonen, Stein Setvik, , Robert K. Bradley

This paper introduces GEM-1, a generative model that accurately predicts future gene expression experiments, achieving performance comparable to real lab experiments.

bioRxiv · Sep 8, 2025 · PreprintGenomics