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Representing nucleotide sequences in ways that AI models can process effectively is a critical challenge. This chapter explores various encoding methods, from nucleotide distributions to Fourier transformations, providing a robust toolkit for researchers.

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DNA and RNA Sequence Representation Learning Methods

  • 章节

  • 发表日期：

    2025年

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  • Muhammad Nabeel Asim,
  • Sheraz Ahmed,
  • Andreas Dengel

摘要

Representing nucleotide sequences in ways that AI models can process effectively is a critical challenge. This chapter explores various encoding methods, from nucleotide distributions to Fourier transformations, providing a robust toolkit for researchers.