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2020 – today
- 2026
[j10]Junming Zhang, Shuwen Xiong, Yugui Xu, Yongqing Zhang
:
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data. Neural Networks 193: 108001 (2026)- 2025
- [j9]Yongqing Zhang, Hao Yuan, Yuhang Liu, Shuwen Xiong, Zhigan Zhou, Yugui Xu, Xinyu Mao, Meiqin Gong:
MMGCSyn: Explainable synergistic drug combination prediction based on multimodal fusion. Future Gener. Comput. Syst. 168: 107784 (2025) - [j8]Shuwen Xiong, Jiajie Cai, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei:
UMPPI: Unveiling Multilevel Protein-Peptide Interaction Prediction via Language Models. J. Chem. Inf. Model. 65(7): 3789-3799 (2025) - [j7]Jinjin Li, Shuwen Xiong, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei:
NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks. J. Chem. Inf. Model. 65(9): 4740-4750 (2025) - [j6]Changhang Lin, Shuwen Xiong, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei:
Deep Learning in Antimicrobial Peptide Prediction. J. Chem. Inf. Model. 65(14): 7373-7392 (2025) - [j5]Yanling Wang, Na Li, Xiao Wang, Feng Cao, Shuwen Xiong, Leyi Wei:
Integrating Protein Language Models and Geometric Deep Learning for Peptide Toxicity Prediction. J. Chem. Inf. Model. 65(14): 7800-7810 (2025) - [c4]Yugui Xu, Hao Yuan, Xinyu Mao, Zhigan Zhou, Yuhang Liu, Shuwen Xiong, Zixuan Wang, Yongqing Zhang:
Enhancing Drug Synergy Prediction via flexible Fusion of Multimodal Heterogeneous Data. IJCNN 2025: 1-8 - 2023
- [j4]Zixuan Wang, Shuwen Xiong, Yun Yu, Jiliu Zhou, Yongqing Zhang:
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency. Bioinform. 39(5) (2023) - [j3]Yuhang Liu, Hao Yuan, Qiang Zhang, Zixuan Wang, Shuwen Xiong, Naifeng Wen, Yongqing Zhang:
Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding. Bioinform. 39(10) (2023) - [c3]Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou:
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction. BIBM 2023: 698-703 - [c2]Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou:
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis. BIBM 2023: 1582-1587 - 2022
- [j2]Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou:
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape. Briefings Bioinform. 23(1) (2022) - [j1]Zixuan Wang, Meiqin Gong, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Yongqing Zhang:
Towards a better understanding of TF-DNA binding prediction from genomic features. Comput. Biol. Medicine 149: 105993 (2022) - [c1]Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou:
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning. BIBM 2022: 680-685
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