Deep learning–driven prediction of on-target activity, off-target risk, and repair outcomes in CRISPR/Cas9: current landscape and multi-scale perspectives
Deep learning–driven prediction of on-target activity, off-target risk, and repair outcomes in CRISPR/Cas9: current landscape and multi-scale perspectives
Haoyang Zhang, Xiangxing Zhu, Hong Hu, Chao Liu et al.
Journal
Journal of Translational Medicine
Topics
CRISPR and Genetic Engineering
article
Deep learning–driven prediction of on-target activity, off-target risk, and repair outcomes in CRISPR/Cas9: current landscape and multi-scale perspectives
Haoyang Zhang, Xiangxing Zhu, Hong Hu, Chao Liu, Yangyang Zheng, Linyuan Guo, Tingfeng Zhang, Dongsheng Tang, Ling Chen, Weian Du
article en
Abstract
No abstract available for this paper.
Publication Tag
Journal of Translational Medicine
Institutions
Foshan University (CN), Jinan University (CN), Lund University (SE), Southern University of Science and Technology (CN), Laboratoire de Chémo-biologie synthétique et thérapeutique (FR), Shenzhen Second People's Hospital (CN), Southern Medical University (CN)