Deep-learning augmented RNA-seq analysis of transcript splicing Z Zhang, Z Pan, Y Ying, Z Xie, S Adhikari, J Phillips, RP Carstens, ... Nature methods 16 (4), 307-310, 2019 | 99 | 2019 |
Pathway-guided analysis identifies Myc-dependent alternative pre-mRNA splicing in aggressive prostate cancers JW Phillips, Y Pan, BL Tsai, Z Xie, L Demirdjian, W Xiao, HT Yang, ... Proceedings of the National Academy of Sciences 117 (10), 5269-5279, 2020 | 54 | 2020 |
Fedkl: Tackling data heterogeneity in federated reinforcement learning by penalizing kl divergence Z Xie, S Song IEEE Journal on Selected Areas in Communications 41 (4), 1227-1242, 2023 | 29 | 2023 |
Detecting allele-specific alternative splicing from population-scale RNA-Seq data L Demirdjian, Y Xu, E Bahrami-Samani, Y Pan, S Stein, Z Xie, E Park, ... The American Journal of Human Genetics 107 (3), 461-472, 2020 | 17 | 2020 |
Joint Multi-objective Optimization for Radio Access Network Slicing Using Multi-agent Deep Reinforcement Learning G Zhou, L Zhao, G Zheng, Z Xie, S Song, KC Chen IEEE Transactions on Vehicular Technology, 2023 | 10 | 2023 |
rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data Y Wang, Z Xie, E Kutschera, JI Adams, KE Kadash-Edmondson, Y Xing Nature Protocols, 1-22, 2024 | 4 | 2024 |
rMATS-turbo Z Xie, Y Xing | 3 | 2020 |
Client Selection for Federated Policy Optimization with Environment Heterogeneity Z Xie, SH Song arXiv preprint arXiv:2305.10978, 2023 | 1 | 2023 |