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Diffusion models can generate realistic DNA sequences, outperforming autoregressive models in regulatory element generation by a large margin.
Forget scaling sequence length: carefully integrating proximal epigenomic signals is the key to accurate gene expression prediction, outperforming long-sequence models.
