Zhen Shen

发表

A Novel Computational Method for MiRNA-Disease Association Prediction

Zhen Shen, Wenzheng Bao, Zhichao Jiang, 2017, ICIC.

Prediction of Back-splicing sites for CircRNA formation based on convolutional neural networks

Qinhu Zhang, Wei Liu, Zhen Shen, 2022, BMC Genomics.

Overexpression of HIF-1α in primary gallbladder carcinoma and its relation to vasculogenic mimicry and unfavourable prognosis.

Xing-Sui Lu, Yue Fan, Wei Sun, 2012, Oncology reports.

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

Zhen Shen, De-Shuang Huang, Su-Ping Deng, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

De-Shuang Huang, Su-Ping Deng, Zhen Shen, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Recurrent Neural Network for Predicting Transcription Factor Binding Sites

De-shuang Huang, Wenzheng Bao, Zhen Shen, 2018, Scientific Reports.

A survey on deep learning in DNA/RNA motif mining

Ying He, De-Shuang Huang, Zhen Shen, 2020, Briefings Bioinform..

Recurrent Neural Network for Predicting Transcription Factor Binding Sites

De-Shuang Huang, Wenzheng Bao, Zhen Shen, 2018, Scientific Reports.

Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture

De-Shuang Huang, Siguo Wang, Qinhu Zhang, 2021, Molecular therapy. Nucleic acids.

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

Zhen Shen, De-Shuang Huang, Qinhu Zhang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites

Siguo Wang, Xiao Qin, Hongjie Wu, 2020, ICIC.

miRNA-Disease Association Prediction with Collaborative Matrix Factorization

Kyungsook Han, De-Shuang Huang, Zhen Shen, 2017, Complex..

Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network

De-shuang Huang, Qinhu Zhang, Zhen Shen, 2019, Scientific Reports.

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

Kyungsook Han, De-Shuang Huang, Qinhu Zhang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network

De-Shuang Huang, Qinhu Zhang, Zhen Shen, 2019, Scientific Reports.

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

Zhen Shen, Lin Yuan, YanLing Shao, 2021, ICIC.

Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification

Siguo Wang, Xiao Qin, Hongjie Wu, 2020, ICIC.

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

Lin Yuan, Qinhu Zhang, Zhen Shen, 2023, PLoS Comput. Biol..

SPYSMDA: SPY Strategy-Based MiRNA-Disease Association Prediction

Zhen Shen, Wenzheng Bao, Zhichao Jiang, 2017, ICIC.

Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network

Qinhu Zhang, Wei Liu, Zhen Shen, 2023, Frontiers in genetics.