Pingjian Ding

发表

An in-silico method with graph-based multi-label learning for large-scale predicting circRNA-disease associations.

Jiancheng Zhong, Qiu Xiao, Jiawei Luo, 2020, Genomics.

A Meta-Path-Based Prediction Method for Human miRNA-Target Association

Jiawei Luo, Pingjian Ding, Jiawei Luo, 2016, BioMed research international.

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

QuanQiu Wang, R. Xu, Pingjian Ding, 2022, J. Biomed. Informatics.

Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein–Protein Interaction Network

Guanghui Li, Pingjian Ding, Hua Qin, 2018, Molecules.

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

Chee-Keong Kwoh, Jiawei Luo, Pingjian Ding, 2019, IEEE Journal of Biomedical and Health Informatics.

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

Cheng Liang, Jiawei Luo, Pingjian Ding, 2018, Neurocomputing.

Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning

Cheng Liang, Jiawei Luo, Pingjian Ding, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Cheng Liang, Jiawei Luo, Qiu Xiao, 2018, J. Biomed. Informatics.

Heterogeneous information network and its application to human health and disease

Chee-Keong Kwoh, Jiawei Luo, Pingjian Ding, 2019, Briefings Bioinform..

SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood

Cheng Liang, Huaxiang Zhang, Jiawei Luo, 2018, Journal of cellular and molecular medicine.

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

Cheng Liang, Jiawei Luo, Jie Cai, 2018, Bioinform..

Prediction of microRNA–disease associations with a Kronecker kernel matrix dimension reduction model

Cheng Liang, Guanghui Li, Qiu Xiao, 2018 .

Multiview Consensus Graph Learning for lncRNA–Disease Association Prediction

Cheng Liang, Qiu Xiao, Pingjian Ding, 2020, Frontiers in Genetics.

An In Silico Method for Predicting Drug Synergy Based on Multitask Learning

Jiawei Luo, Pingjian Ding, Lingyun Luo, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Aspirin Use and Risk of Alzheimer's Disease: A 2-Sample Mendelian Randomization Study.

Pingjian Ding, R. Xu, Xiaofeng Zhu, 2023, Journal of Alzheimer's disease : JAD.

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

Jiawei Luo, Cong Shen, Zihan Lai, 2020, J. Chem. Inf. Model..

NCPCDA: network consistency projection for circRNA–disease association prediction

Cheng Liang, Jiawei Luo, Qiu Xiao, 2019, RSC advances.

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

Cheng Liang, Jiawei Luo, Cong Shen, 2019, J. Chem. Inf. Model..

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Cheng Liang, Huaxiang Zhang, Jiawei Luo, 2019, Molecular therapy. Nucleic acids.

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

Cheng Liang, Jiawei Luo, Qiu Xiao, 2017, IEEE Access.

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection

Yuejin Zhang, Jiawei Luo, Qiu Xiao, 2019, IEEE Access.

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

Cheng Liang, Jiawei Luo, Hailin Chen, 2020, J. Biomed. Informatics.

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

Cheng Liang, Qiu Xiao, Guanghui Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

R. Xu, Pingjian Ding, Zhenxiang Gao, 2022, J. Biomed. Informatics.

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

Pingjian Ding, Wenyu Shan, Lingyun Luo, 2022, ICIC.

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

Cheng Liang, Jiawei Luo, Qiu Xiao, 2018, J. Biomed. Informatics.

Inferring MicroRNA Targets Based on Restricted Boltzmann Machines

Jiawei Luo, Pingjian Ding, Ying Liu, 2019, IEEE Journal of Biomedical and Health Informatics.

Improving language model of human genome for DNA–protein binding prediction based on task-specific pre-training

Pingjian Ding, Cheng Chen, Wenyu Shan, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Curvature-enhanced graph convolutional network for biomolecular interaction prediction

Kelin Xia, Jiawei Luo, Pingjian Ding, 2023, Computational and structural biotechnology journal.

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

Jiawei Luo, Pingjian Ding, Xiangtao Chen, 2020, Bioinform..

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

Huan Liu, Pingjian Ding, Lingyun Luo, 2023, Comput. Biol. Chem..

Self-prediction of relations in GO facilitates its quality auditing

Pingjian Ding, Lingyun Luo, Chunlei Zheng, 2023, J. Biomed. Informatics.

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

Hao Wu, Jiawei Luo, Pingjian Ding, 2020, J. Chem. Inf. Model..

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

Cheng Liang, Jiawei Luo, Ying Liu, 2017, IEEE Access.

IUPHAR review - Data-driven Computational Drug Repurposing Approaches for Opioid Use Disorder.

Pingjian Ding, Zhenxiang Gao, Rong Xu, 2023, Pharmacological research.

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Qiu Xiao, Jiawei Luo, C. Liang, 2019, Molecular therapy. Nucleic acids.

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

Cheng Liang, Jiawei Luo, Qiu Xiao, 2017, IEEE Access.

A path-based measurement for human miRNA functional similarities using miRNA-disease associations

Jiawei Luo, Qiu Xiao, Pingjian Ding, 2016, Scientific Reports.