H-VAE: A Hybrid Variational AutoEncoder with Data Augmentation in Predicting CRISPR/Cas9 Off-target

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2021)

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摘要
CRISPR/Cas9-based gene editing technology has been widely used in various cells and organisms. However, the off-target effects will bring unpredictable consequences to the organism edited. One of the main obstacles to predict CRISPR/Cas9 off-target is the imbalance of the number of positive and negative samples, which puts forward a challenge for the training of traditional deep learning algorithm...
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Training,Deep learning,Codes,Conferences,Prediction algorithms,Organisms,Encoding
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