Pingjian Ding

According to our database, Pingjian Ding authored at least 34 papers between 2017 and 2024.

Collaborative distances:

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

2024

A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning.

Yuxun Luo, Wenyu Shan, Li Peng, Lingyun Luo, Pingjian Ding, Wei Liang

IEEE J. Biomed. Health Informatics, August, 2024

HKFGCN: A novel multiple kernel fusion framework on graph convolutional network to predict microbe-drug associations.

Ziyu Wu, Shasha Li, Lingyun Luo, Pingjian Ding

Comput. Biol. Chem., 2024

Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network.

Yuxun Luo, Shasha Li, Li Peng, Pingjian Ding, Wei Liang

Comput. Biol. Chem., 2024

Multi-scale DNA language model improves 6 mA binding sites prediction.

Anlin Hou, Hanyu Luo, Huan Liu, Lingyun Luo, Pingjian Ding

Comput. Biol. Chem., 2024

2023

Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations.

Yichen Zhong, Cong Shen, Xiaoting Xi, Yuxun Luo, Pingjian Ding, Lingyun Luo

Artif. Intell. Medicine, November, 2023

Self-prediction of relations in GO facilitates its quality auditing.

Cheng Chen, Lingyun Luo, Chunlei Zheng, Pingjian Ding, Huan Liu, Hanyu Luo

J. Biomed. Informatics, August, 2023

SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.

Hanyu Luo, Ye Li, Huan Liu, Pingjian Ding, Ying Yu, Lingyun Luo

Comput. Biol. Chem., August, 2023

Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.

Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia

CoRR, 2023

2022

KG-Predict: A knowledge graph computational framework for drug repurposing.

Zhenxiang Gao, Pingjian Ding, Rong Xu

J. Biomed. Informatics, 2022

Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records.

Pingjian Ding, Yiheng Pan, QuanQiu Wang, Rong Xu

J. Biomed. Informatics, 2022

iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength.

Hanyu Luo, Cheng Chen, Wenyu Shan, Pingjian Ding, Lingyun Luo

Proceedings of the Intelligent Computing Theories and Application, 2022

A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks.

Zhenxiang Gao, Rong Xu, Yiheng Pan, Pingjian Ding

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.

Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding

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

Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network.

Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo

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

IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors.

Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen

Bioinform., 2021

2020

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer.

Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu

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

Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks.

Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Hao Wu

J. Chem. Inf. Model., 2020

Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge.

Cong Shen, Jiawei Luo, Zihan Lai, Pingjian Ding

J. Chem. Inf. Model., 2020

Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.

Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo

J. Chem. Inf. Model., 2020

Potential circRNA-disease association prediction using DeepWalk and network consistency projection.

Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen

J. Biomed. Informatics, 2020

Heterogeneous information network and its application to human health and disease.

Pingjian Ding, Wenjue Ouyang, Jiawei Luo, Chee-Keong Kwoh

Briefings Bioinform., 2020

2019

Inferring MicroRNA Targets Based on Restricted Boltzmann Machines.

Ying Liu, Jiawei Luo, Pingjian Ding

IEEE J. Biomed. Health Informatics, 2019

Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.

Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh

IEEE J. Biomed. Health Informatics, 2019

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection.

Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang

IEEE Access, 2019

2018

Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks.

Buwen Cao, Shuguang Deng, Jiawei Luo, Pingjian Ding, Shulin Wang

J. Intell. Fuzzy Syst., 2018

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.

Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding

J. Biomed. Informatics, 2018

Human disease MiRNA inference by combining target information based on heterogeneous manifolds.

Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao

J. Biomed. Informatics, 2018

Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks.

Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen

Neurocomputing, 2018

A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.

Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding

Bioinform., 2018

GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network.

Qiao Zhu, Jiawei Luo, Pingjian Ding, Qiu Xiao

Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

2017

Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning.

Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data.

Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding

IEEE Access, 2017

Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk.

Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao

IEEE Access, 2017

A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity.

Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen

IEEE Access, 2017