Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches
Xiaolong Cheng, Zexu Li, Ruocheng Shan, Zihan Li, Shengnan Wang, Wenchang Zhao, Han Zhang, Lumen Chao, Jian Peng, Fei Teng, Wei Li
The paper develops DeepCas13, a deep learning model to predict CRISPR-Cas13d gRNA on-target activity and off-target viability effects, improving accuracy for RNA editing applications.
Nature Communications · Feb 10, 2023Peer-reviewedBioinformatics