Pingjian Ding

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Convolutional Network

Protein Complexes

Computational Framework

Negative Matrix Factorization

Top Venues

J. Biomed. Informatics

IEEE ACM Trans. Comput. Biol. Bioinform.

Comput. Biol. Chem.

Publications

Yuxun Luo, Shasha Li, Li Peng, Pingjian Ding, Wei Liang
Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network. Comput. Biol. Chem. 110 (2024)
Yuxun Luo, Wenyu Shan, Li Peng, Lingyun Luo, Pingjian Ding, Wei Liang
A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Anlin Hou, Hanyu Luo, Huan Liu, Lingyun Luo, Pingjian Ding
Multi-scale DNA language model improves 6 mA binding sites prediction. Comput. Biol. Chem. 112 (2024)
Ziyu Wu, Shasha Li, Lingyun Luo, Pingjian Ding
HKFGCN: A novel multiple kernel fusion framework on graph convolutional network to predict microbe-drug associations. Comput. Biol. Chem. 110 (2024)
Hanyu Luo, Ye Li, Huan Liu, Pingjian Ding, Ying Yu, Lingyun Luo
SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information. Comput. Biol. Chem. 105 (2023)
Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR (2023)
Yichen Zhong, Cong Shen, Xiaoting Xi, Yuxun Luo, Pingjian Ding, Lingyun Luo
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations. Artif. Intell. Medicine 145 (2023)
Cheng Chen, Lingyun Luo, Chunlei Zheng, Pingjian Ding, Huan Liu, Hanyu Luo
Self-prediction of relations in GO facilitates its quality auditing. J. Biomed. Informatics 144 (2023)
Zhenxiang Gao, Pingjian Ding, Rong Xu
KG-Predict: A knowledge graph computational framework for drug repurposing. J. Biomed. Informatics 132 (2022)
Hanyu Luo, Cheng Chen, Wenyu Shan, Pingjian Ding, Lingyun Luo
iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength. ICIC (2) (2022)
Pingjian Ding, Yiheng Pan, QuanQiu Wang, Rong Xu
Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records. J. Biomed. Informatics 133 (2022)
Zhenxiang Gao, Rong Xu, Yiheng Pan, Pingjian Ding
A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks. AMIA (2022)
Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors. Bioinform. 36 (22-23) (2021)
Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. 60 (1) (2020)
Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen
Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics 112 (2020)
Cong Shen, Jiawei Luo, Zihan Lai, Pingjian Ding
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. J. Chem. Inf. Model. 60 (8) (2020)
Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Hao Wu
Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks. J. Chem. Inf. Model. 60 (12) (2020)
Pingjian Ding, Wenjue Ouyang, Jiawei Luo, Chee-Keong Kwoh
Heterogeneous information network and its application to human health and disease. Briefings Bioinform. 21 (4) (2020)
Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang
Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access 7 (2019)
Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Ying Liu, Jiawei Luo, Pingjian Ding
Inferring MicroRNA Targets Based on Restricted Boltzmann Machines. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao
Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics 80 (2018)
Buwen Cao, Shuguang Deng, Jiawei Luo, Pingjian Ding, Shulin Wang
Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks. J. Intell. Fuzzy Syst. 34 (1) (2018)
Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics 82 (2018)
Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. 34 (2) (2018)
Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing 294 (2018)
Qiao Zhu, Jiawei Luo, Pingjian Ding, Qiu Xiao
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. ISBRA (2018)
Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access 5 (2017)
Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen
A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access 5 (2017)
Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen
Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (6) (2017)
Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access 5 (2017)