A diffusion model trained on PCA embeddings generates realistic full-length synthetic human genotypes that support disease and population classifiers with near-real-data accuracy.
European Journal of Human Genetics, 26 0 (10): 0 1537--1546, 2018
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Generating Synthetic Genotypes using Diffusion Models
A diffusion model trained on PCA embeddings generates realistic full-length synthetic human genotypes that support disease and population classifiers with near-real-data accuracy.