Zhan-Heng Chen - researchr alias

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2023

DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length InformationZhen Cui, Siguo Wang, Ying He, Zhan-Heng Chen, Qinhu Zhang. titb, 27(9):4611-4622, September 2023. [doi]

scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq dataZhen-Hao Guo, Yan Wu, Siguo Wang, Qinhu Zhang, Jin-Ming Shi, Yan-Bin Wang, Zhan-Heng Chen. bmcbi, 24(1):481, December 2023. [doi]

A survey of transformer-based multimodal pre-trained modalsXue Han, Yitong Wang, Junlan Feng, Chao Deng, Zhan-Heng Chen, Yu-An Huang, Hui Su, Lun Hu, Pengwei Hu. ijon, 515:89-106, 2023. [doi]

Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease AssociationsMei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, Leon Wong, Li-ping Li, Zhan-Heng Chen. tcbb, 20(5):2610-2618, September - October 2023. [doi]

2022

RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins IdentificationZhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang. tcbb, 19(6):3663-3672, 2022. [doi]

Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and ShapeQinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang. tcbb, 19(6):3144-3153, 2022. [doi]

Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net worksMenglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen. icic 2022: 220-232 [doi]

Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving OpportunitiesYuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen, Bo-Wei Zhao, Lun Hu, Pengwei Hu. icic 2022: 739-752 [doi]

MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction PredictionBo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang. icic 2022: 451-459 [doi]

2021

A learning-based method to predict LncRNA-disease associations by combining CNN and ELMZhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang. bmcbi, 22-S(5):622, 2021. [doi]

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithmZhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng 0020, Zhan-Heng Chen, Yan-Bin Wang. bib, 22(2):2085-2095, 2021. [doi]

OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTMXue Han, Qing Wang, Zhan-Heng Chen, Lun Hu, Pengwei Hu. icic 2021: 605-615 [doi]

Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network RepresentationXiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo. icic 2021: 617-626 [doi]

Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease AssociationsMei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, LiPing Li, Zhan-Heng Chen. icic 2021: 467-477 [doi]

Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal DataZhongsi Zhang, Fei Xu, Han-Jing Jiang, Zhan-Heng Chen. icic 2021: 549-560 [doi]

2020

Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention NetworksKai Zheng 0020, Zhu-Hong You, Lei Wang 0121, Leon Wong, Zhan-Heng Chen. icic 2020: 239-250 [doi]

Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations NetworkZhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang. icic 2020: 348-358 [doi]

Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence InformationZhen-Hao Guo, Zhu-Hong You, Li-ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang. icic 2020: 279-289 [doi]

NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute informationBo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, Leon Wong, Hai-Cheng Yi. bmcbi, 21(1):401, 2020. [doi]

A survey of current trends in computational predictions of protein-protein interactionsYanbin Wang, Zhuhong You, LiPing Li, Zhan-Heng Chen. fcsc, 14(4):144901, 2020. [doi]

GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA InteractionsMei-Neng Wang, Zhu-Hong You, Li-ping Li, Leon Wong, Zhan-Heng Chen, Chengzhi Gan. access, 8:37578-37588, 2020. [doi]

WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease AssociationsMei-Neng Wang, Zhu-Hong You, Li-ping Li, Zhan-Heng Chen, Xue-Jun Xie. icic 2020: 542-551 [doi]

A deep learning-based method for drug-target interaction prediction based on long short-term memory neural networkYan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen, Kai Zheng 0020. midm, 20-S(2):49, March 2020. [doi]

2019

Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting ProteinsZhan-Heng Chen, Zhu-Hong You, Li-ping Li, Zhen-Hao Guo, Pengwei Hu, Han-Jing Jiang. icic 2019: 166-174 [doi]

Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease AssociationsZhen-Hao Guo, Zhu-Hong You, Li-ping Li, Yan-Bin Wang, Zhan-Heng Chen. icic 2019: 406-417 [doi]

Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation ForestHan-Jing Jiang, Zhu-Hong You, Kai Zheng, Zhan-Heng Chen. icic 2019: 369-380 [doi]

Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting ProteinsYan-Bin Wang, Zhu-Hong You, Hai-Cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng. icic 2019: 460-467 [doi]

In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence InformationHai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen, Zhen-Hao Guo, Hui-Juan Zhu. icic 2019: 313-323 [doi]

2018

RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response FilterZhan-Heng Chen, Zhu-Hong You, LiPing Li, Yan-Bin Wang, Xiao Li. icic 2018: 232-240 [doi]

Prediction of protein self-interactions using stacked long short-term memory from protein sequences informationYan-Bin Wang, Zhu-Hong You, Xiao Li, Tong-Hai Jiang, Li Cheng, Zhan-Heng Chen. bmcsb, 12(8):129, 2018. [doi]

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