Pingjian Ding
Orcid: 0000-0002-2613-2496
According to our database1,
Pingjian Ding
authored at least 30 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations.
Artif. Intell. Medicine, November, 2023
J. Biomed. Informatics, August, 2023
SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.
Comput. Biol. Chem., August, 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.
CoRR, 2023
2022
J. Biomed. Informatics, 2022
Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records.
J. Biomed. Informatics, 2022
iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength.
Proceedings of the Intelligent Computing Theories and Application, 2022
A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks.
Proceedings of the AMIA 2022, 2022
2021
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors.
Bioinform., 2021
2020
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks.
J. Chem. Inf. Model., 2020
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge.
J. Chem. Inf. Model., 2020
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.
J. Chem. Inf. Model., 2020
Potential circRNA-disease association prediction using DeepWalk and network consistency projection.
J. Biomed. Informatics, 2020
Briefings Bioinform., 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.
IEEE J. Biomed. Health Informatics, 2019
IEEE Access, 2019
2018
Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks.
J. Intell. Fuzzy Syst., 2018
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.
J. Biomed. Informatics, 2018
Human disease MiRNA inference by combining target information based on heterogeneous manifolds.
J. Biomed. Informatics, 2018
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks.
Neurocomputing, 2018
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.
Bioinform., 2018
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data.
IEEE Access, 2017
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk.
IEEE Access, 2017
IEEE Access, 2017