Author

Huiting Xu

University of TübingenORCID 0000-0002-7029-3721Unclaimed ORCID profile · follow to get notified of new preprints

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Huiting Xu1 paper · Max Planck Society

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Approach:statistical model· 1

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Daniel R. SchrideriD· 1 shared Dylan D. RayiD· 1 shared Franz BaumdickeriD· 1 shared Lei Lei· 1 shared Leon ZongiD· 1 shared Sara MathiesoniD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperGenomics

Daniel R. SchriderORCID

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1 paper

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GenomicsMolecular Biology and EvolutionPeer-reviewedOct 1, 2026

Interpreting Convolutional Neural Networks in Population Genetics

Huiting Xu, Leon Zong, Dylan D. Ray…·Sara Mathieson

This study investigates how convolutional neural networks in population genetics implicitly compute summary statistics and reveals their ability to efficiently approximate long-range linkage disequilibrium.

1 citation

GWAS summary statisticsdeep learning

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