Author

Rebecca Bohn

University of Pittsburgh

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

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Genetic & Genomic Medicine· 1

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Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Aditya SriramiD· 1 shared Hyun Jung ParkiD· 1 shared Joseph A. CarcilloiD· 1 shared Kate F. KernaniD· 1 shared Soyeon KimiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Aditya SriramORCID

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1 paper

Recent·Most cited

DeepEXPOKE: A Deep Learning Framework with Polygenic Risk Scores as Knockoffs for Deconvoluting Genetic and Non-Genetic Exposure Risks in Sepsis and Coronary Heart Disease

Aditya Sriram, Rebecca Bohn, Kate F. Kernan, Joseph A. Carcillo, Soyeon Kim, Hyun Jung Park

DeepEXPOKE uses deep learning with knockoff features to distinguish genetic and non-genetic exposure risks in sepsis and coronary heart disease, identifying metabolites and asthma as risk factors.

medRxiv · Oct 15, 2024 · PreprintGenetic & Genomic Medicine