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Shuwen Xiong

Showing results (1-10 of 19) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|August 29, 2025
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics dataJunming Zhang, Shuwen Xiong, Yugui Xu, et al.
Methods (San Diego, Calif.)|October 19, 2024
A heterogeneous graph transformer framework for accurate cancer driver gene prediction and downstream analysisShuwen Xiong, Junming Zhang, Hong Luo, et al.
Bioinformatics (Oxford, England)|May 4, 2023
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependencyZixuan Wang, Shuwen Xiong, Yun Yu, et al.
Journal of Chemical Information and Modeling|July 8, 2025
Deep Learning in Antimicrobial Peptide PredictionChanghang Lin, Shuwen Xiong, Feifei Cui, et al.
Journal of Chemical Information and Modeling|March 13, 2025
UMPPI: Unveiling Multilevel Protein-Peptide Interaction Prediction via Language ModelsShuwen Xiong, Jiajie Cai, Hua Shi, et al.
IEEE Transactions on Computational Biology and Bioinformatics|December 11, 2025
A Multi-modal Contrastive Learning Framework for Cyclic Peptide Permeability PredictionShuwen Xiong, Feifei Cui, Zilong Zhang, et al.
Journal of Chemical Information and Modeling|April 21, 2025
NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional NetworksJinjin Li, Shuwen Xiong, Hua Shi, et al.
Journal of Chemical Information and Modeling|July 8, 2025
Integrating Protein Language Models and Geometric Deep Learning for Peptide Toxicity PredictionYanling Wang, Na Li, Xiao Wang, et al.
International Journal of Molecular Sciences|February 11, 2023
MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-LearningYongqing Zhang, Maocheng Wang, Zixuan Wang, et al.
Methods (San Diego, Calif.)|March 18, 2023
Local augmented graph neural network for multi-omics cancer prognosis prediction and analysisYongqing Zhang, Shuwen Xiong, Zixuan Wang, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|August 29, 2025
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics dataJunming Zhang, Shuwen Xiong, Yugui Xu, et al.
Methods (San Diego, Calif.)|October 19, 2024
A heterogeneous graph transformer framework for accurate cancer driver gene prediction and downstream analysisShuwen Xiong, Junming Zhang, Hong Luo, et al.
Bioinformatics (Oxford, England)|May 4, 2023
HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependencyZixuan Wang, Shuwen Xiong, Yun Yu, et al.
Journal of Chemical Information and Modeling|July 8, 2025
Deep Learning in Antimicrobial Peptide PredictionChanghang Lin, Shuwen Xiong, Feifei Cui, et al.
Journal of Chemical Information and Modeling|March 13, 2025
UMPPI: Unveiling Multilevel Protein-Peptide Interaction Prediction via Language ModelsShuwen Xiong, Jiajie Cai, Hua Shi, et al.
IEEE Transactions on Computational Biology and Bioinformatics|December 11, 2025
A Multi-modal Contrastive Learning Framework for Cyclic Peptide Permeability PredictionShuwen Xiong, Feifei Cui, Zilong Zhang, et al.
Journal of Chemical Information and Modeling|April 21, 2025
NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional NetworksJinjin Li, Shuwen Xiong, Hua Shi, et al.
Journal of Chemical Information and Modeling|July 8, 2025
Integrating Protein Language Models and Geometric Deep Learning for Peptide Toxicity PredictionYanling Wang, Na Li, Xiao Wang, et al.
International Journal of Molecular Sciences|February 11, 2023
MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-LearningYongqing Zhang, Maocheng Wang, Zixuan Wang, et al.
Methods (San Diego, Calif.)|March 18, 2023
Local augmented graph neural network for multi-omics cancer prognosis prediction and analysisYongqing Zhang, Shuwen Xiong, Zixuan Wang, et al.
Pageof 2