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Article

Deep Generative Models for Discrete Genotype Simulation

2025-08-12

Abstract excerpt

Deep generative models open new avenues for simulating realistic genomic data while preserving privacy and addressing data accessibility constraints. While previous studies have primarily focused on generating gene expression or haplotype data, this study explores generating genotype data in both unconditioned and phenotype-conditioned settings, which is inherently more challenging due to the discrete nature of ge...

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Literature Corpus work
a46061dd-620e-5bb0-bc33-ea268acc6910
DOI
10.1101/2025.08.08.669289
Open publication

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Deep Generative Models for Discrete Genotype SimulationDOI 10.1101/2025.08.08.669289
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