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An artificial intelligence approach for gene editing off-target quantification: convolution neural network designs and considerations

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CRISPRattention

An artificial intelligence approach for gene editing off-target quantification: convolutional self-attention neural network designs and considerations

CONTAINS:

  • code/offtarget_transfomer.ipynb: Python notebook to evaluate our model
  • code/plot_paper_figure.ipynb: Python notebook to plot the figures in our manuscript
  • data/*: Dataset for training and evaluating model including CRISPOR dataset and GUIDE-Seq dataset (unzip data.zip first)

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An artificial intelligence approach for gene editing off-target quantification: convolution neural network designs and considerations

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