Author

Stefan Hegselmann

Deutsches Herzzentrum der CharitéORCID 0000-0002-2145-3258Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Benjamin WildiD· 1 shared Fabian Joachim TheisiD· 1 shared Hannah SchmidtiD· 1 shared Jakob SteinfeldtiD· 1 shared Julius Upmeier zu BelzeniD· 1 shared Khue M. Nguyen· 1 shared Leonard Eckhoff· 1 shared Leonhard KohleickiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Benjamin WildORCID

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1 paper

Recent·Most cited

An interpretable omnigenic neural network architecture for the human genome

Julius Upmeier zu Belzen, Lucas Arnoldt, Noah Hollmann, Luis Herrmann, Khue M. Nguyen, Leonard Eckhoff, Leonhard Kohleick, Sedra Abou Ghaloun, Hannah Schmidt, Stefan Hegselmann, Fabian Joachim Theis, Thore Buergel, Jakob Steinfeldt, Benjamin Wild, Roland Eils

The paper introduces an interpretable neural network architecture for genomic prediction, outperforming existing methods in disease risk prediction and capturing non-linear genetic interactions.

medRxiv · Jul 31, 2026 · PreprintGenetic & Genomic Medicine