CRISPert: A Transformer-Based Model for CRISPR-Cas Off-Target Prediction
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70368-3_6
Reference28 articles.
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2. Cameron, P., et al.: Mapping the genomic landscape of CRISPR-Cas9 cleavage. Nat. Methods 14(6), 600–606 (2017). https://doi.org/10.1038/nmeth.4284
3. Chen, D., Shu, W., Peng, S.: Predicting CRISPR-Cas9 off-target with self-supervised neural networks. In: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 245–250. IEEE (2020)
4. Chuai, G., et al.: DeepCRISPR: optimized CRISPR guide RNA design by deep learning. Genome Biol. 19(1), 80 (2018). https://doi.org/10.1186/s13059-018-1459-4
5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of Deep Bidirectional Transformers for Language Understanding (2019). https://doi.org/10.48550/arXiv.1810.04805. arXiv:1810.04805
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