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national-genomics-infrastructure

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This project implements a hybrid machine learning approach for classifying breast cancer from DNA sequences using bidirectional embeddings generated by DNABERT. The study processes over 46 million high-quality DNA sequences to distinguish between cancerous and non-cancerous genomic material.

  • Updated Sep 24, 2025
  • Jupyter Notebook

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