Unverified50% confidenceFactExact time
The self-attention mechanism of the Transformer architecture can capture relationships between any two positions in a sequence, making it well-suited for capturing ultra-long-range dependencies in DNA sequences, and outperforming traditional convolutional neural networks in this regard.
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9/10/2026
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