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Pingjian Ding
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2020 – today
- 2024
- [j30]Ziyu Wu, Shasha Li, Lingyun Luo, Pingjian Ding
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HKFGCN: A novel multiple kernel fusion framework on graph convolutional network to predict microbe-drug associations. Comput. Biol. Chem. 110: 108041 (2024) - [j29]Yuxun Luo, Shasha Li, Li Peng, Pingjian Ding
Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network. Comput. Biol. Chem. 110: 108060 (2024) - [j28]Anlin Hou
Multi-scale DNA language model improves 6 mA binding sites prediction. Comput. Biol. Chem. 112: 108129 (2024) - [j27]Yuxun Luo
A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning. IEEE J. Biomed. Health Informatics 28(8): 4503-4511 (2024) - 2023
- [j26]Yichen Zhong, Cong Shen
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations. Artif. Intell. Medicine 145: 102665 (2023) - [j25]Hanyu Luo
SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information. Comput. Biol. Chem. 105: 107905 (2023) - [j24]Cheng Chen, Lingyun Luo, Chunlei Zheng, Pingjian Ding
Self-prediction of relations in GO facilitates its quality auditing. J. Biomed. Informatics 144: 104441 (2023) - [i1]Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia:
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR abs/2306.13699 (2023) - 2022
- [j23]Zhenxiang Gao
KG-Predict: A knowledge graph computational framework for drug repurposing. J. Biomed. Informatics 132: 104133 (2022) - [j22]Pingjian Ding
Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records. J. Biomed. Informatics 133: 104164 (2022) - [c3]Zhenxiang Gao, Rong Xu, Yiheng Pan, Pingjian Ding:
A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks. AMIA 2022 - [c2]Hanyu Luo
iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength. ICIC (2) 2022: 153-165 - 2021
- [j21]Cong Shen
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors. Bioinform. 36(22-23): 5481-5491 (2021) - [j20]Pingjian Ding
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1562-1571 (2021) - [j19]Jiawei Luo
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): 2535-2545 (2021) - 2020
- [j18]Pingjian Ding
Heterogeneous information network and its application to human health and disease. Briefings Bioinform. 21(4): 1327-1346 (2020) - [j17]Guanghui Li
Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics 112: 103624 (2020) - [j16]Pingjian Ding
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. 60(1): 37-46 (2020) - [j15]Cong Shen
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. J. Chem. Inf. Model. 60(8): 4085-4097 (2020) - [j14]Cong Shen
Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks. J. Chem. Inf. Model. 60(12): 6709-6721 (2020) - [j13]Qiu Xiao
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 623-634 (2020)
2010 – 2019
- 2019
- [j12]Guanghui Li
Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access 7: 58849-58856 (2019) - [j11]Ying Liu
Inferring MicroRNA Targets Based on Restricted Boltzmann Machines. IEEE J. Biomed. Health Informatics 23(1): 427-436 (2019) - [j10]Pingjian Ding
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. IEEE J. Biomed. Health Informatics 23(3): 1336-1345 (2019) - 2018
- [j9]Qiu Xiao
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. 34(2): 239-248 (2018) - [j8]Jiawei Luo
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing 294: 29-38 (2018) - [j7]Pingjian Ding
Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics 80: 26-36 (2018) - [j6]Guanghui Li
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics 82: 169-177 (2018) - [j5]Buwen Cao, Shuguang Deng, Jiawei Luo, Pingjian Ding
Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks. J. Intell. Fuzzy Syst. 34(1): 93-103 (2018) - [c1]Qiao Zhu, Jiawei Luo, Pingjian Ding
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. ISBRA 2018: 13-25 - 2017
- [j4]Pingjian Ding
A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access 5: 2364-2372 (2017) - [j3]Jiawei Luo, Qiu Xiao
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access 5: 2503-2513 (2017) - [j2]Guanghui Li
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access 5: 24032-24039 (2017) - [j1]Jiawei Luo
Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1468-1475 (2017)
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