Reconstructing sequence-grammar trajectories enables interpretable and tunable cis-regulatory element design
Mingqian Ma, Wanjuan Bu, Guoqing Liu, Yuxuan Liu, Liu S, Zhen Zhao, Shijie Yao, Qingru Hua, Yu Zhang, Cuiting Zhong, Haitao Huang, Pan Deng, Peiran Jin, Qijin Yin, Chuan Cao, , Zeyu Chen
This paper introduces GO-CRE, a method for designing cell-type-specific cis-regulatory elements by reconstructing sequence-grammar trajectories and using reinforcement learning with predictor guidance.
bioRxiv · Jul 17, 2026 · PreprintGenomics