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Arxiv
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Leveraging State Space Models in Long Range Genomics
- Long-range dependencies are critical for understanding genomic structure and function.
- State Space Models (SSMs) are explored as a promising alternative to conventional methods.
- SSMs match transformer performance and exhibit impressive zero-shot extrapolation across multiple tasks.
- SSMs are efficient and scalable for long-context genomic analysis and can process sequences of 1M tokens on a single GPU.
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