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.
Accurate proteome-wide missense variant effect prediction with alphamissense
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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.