Zhen Shen

According to our database, Zhen Shen authored at least 21 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A brief survey of deep learning-based models for CircRNA-protein binding sites prediction.

Zhen Shen, Lin Yuan, Wenzheng Bao, Siguo Wang, Qinhu Zhang, De-Shuang Huang

Neurocomputing, 2025

2024

A Remote Sensing Target Detection Model Based on Lightweight Feature Enhancement and Feature Refinement Extraction.

Dongen Guo, Zhuoke Zhou, Fengshuo Guo, Chaoxin Jia, Xiaohong Huang, Jiangfan Feng, Zhen Shen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites.

Lin Yuan, Ling Zhao, Jinling Lai, Yufeng Jiang, Qinhu Zhang, Zhen Shen, Chun-Hou Zheng, De-Shuang Huang

PLoS Comput. Biol., 2024

Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer.

Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang

Future Gener. Comput. Syst., 2024

scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data.

Lin Yuan, Ling Zhao, Yufeng Jiang, Zhen Shen, Qinhu Zhang, Ming Zhang, Chun-Hou Zheng, De-Shuang Huang

Briefings Bioinform., 2024

2023

iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.

Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang

PLoS Comput. Biol., 2023

Identification of CircRNA-Disease Associations from the Integration of Multi-dimensional Bioinformatics with Graph Auto-encoder and Attention Fusion Model.

Lin Yuan, Jiawang Zhao, Zhen Shen, Wendong Yu, Hongwei Wei, Shengguo Sun, Xingang Wang, Yushui Geng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An Improved Method for CFNet Identifying Glioma Cells.

Lin Yuan, Jinling Lai, Zhen Shen, Wendong Yu, Hongwei Wei, Ling Zhao, Zhijie Xu, Xingang Wang, Yushui Geng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network.

Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Bio-ATT-CNN: A Novel Method for Identification of Glioblastoma.

Jinling Lai, Zhen Shen, Lin Yuan

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape.

Qinhu Zhang, Zhen Shen, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs.

Lin Yuan, Jing Zhao, Tao Sun, Zhen Shen

BMC Bioinform., 2021

A survey on deep learning in DNA/RNA motif mining.

Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang

Briefings Bioinform., 2021

Joint Association Analysis Method to Predict Genes Related to Liver Cancer.

Lin Yuan, Zhen Shen

Proceedings of the Intelligent Computing Theories and Application, 2021

Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR Region.

Zhen Shen, YanLing Shao, Lin Yuan

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks.

Zhen Shen, Su-Ping Deng, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature.

Zhen Shen, Su-Ping Deng, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2017

miRNA-Disease Association Prediction with Collaborative Matrix Factorization.

Zhen Shen, You-Hua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang

Complex., 2017

CMFHMDA: Collaborative Matrix Factorization for Human Microbe-Disease Association Prediction.

Zhen Shen, Zhichao Jiang, Wenzheng Bao

Proceedings of the Intelligent Computing Theories and Application, 2017

SPYSMDA: SPY Strategy-Based MiRNA-Disease Association Prediction.

Zhichao Jiang, Zhen Shen, Wenzheng Bao

Proceedings of the Intelligent Computing Theories and Application, 2017

A Novel Computational Method for MiRNA-Disease Association Prediction.

Zhichao Jiang, Zhen Shen, Wenzheng Bao

Proceedings of the Intelligent Computing Theories and Application, 2017