A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity

Authors: Zhaohong Li, Yuanyuan Zhang, Bo Peng, Shenghua Qin, Qian Zhang, Yun Chen, Choulin Chen, Yongzhou Bao, Yuqi Zhu, Yi Hong, Binghua Liu, Qian Liu, Lingna Xu, Xi Chen, Xinhao Ma, Hongyan Wang, Long Xie, Yilong Yao, Biao Deng, Jiaying Li, Baojun De, Yuting Chen, Jing Wang, Tian Li, Ranran Liu, Zhonglin Tang, Junwei Cao, Erwei Zuo, Chugang Mei, Fangjie Zhu, Changwei Shao, Guirong Wang, Tongjun Sun, Ningli Wang, Gang Liu, Jian-Quan Ni, Yuwen Liu

Published: 2024-10-18

DOI: 10.1093/nar/gkae912

Source: Full article

A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity

Abstract