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genomeNLP documentation
genomeNLP documentation

Contents:

  • genomeNLP: Genome recoding for Machine Learning Usage incorporating genomicBERT
  • genomeNLP: Case study of deep learning
  • genomeNLP: Case study of DNA
  • genomeNLP: Case study of Protein
  • Create a token set from sequences
  • Create a dataset object from sequences
  • Create embeddings from a tokenised dataset
  • Perform a hyperparameter sweep
  • genomicBERT: Train a deep learning classifier
  • Perform cross-validation
  • Compare performance of different deep learning models
  • Generate synthetic sequences for use in classification
  • Get class attribution for deep learning models
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