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Computational and Structural Biotechnology Journal
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March 1, 2024
Curvature-enhanced graph convolutional network for biomolecular interaction prediction
Cong Shen, Pingjian Ding, Junjie Wee, et al.
Plos One
|
June 17, 2024
Deep graph contrastive learning model for drug-drug interaction prediction
Zhenyu Jiang, Zhi Gong, Xiaopeng Dai, et al.
Current Topics in Medicinal Chemistry
|
March 31, 2018
Discovering Synergistic Drug Combination from a Computational Perspective
Pingjian Ding, Jiawei Luo, Cheng Liang, et al.
Molecules (Basel, Switzerland)
|
June 20, 2018
Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein⁻Protein Interaction Network
Buwen Cao, Shuguang Deng, Hua Qin, et al.
Journal of Biomedical Informatics
|
April 15, 2026
A pipeline towards missing IS-A relationship discovery in the Gene Ontology
Dong Xiao, Lingyun Luo, Pingjian Ding, et al.
Journal of Chemical Information and Modeling
|
January 1, 2020
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization
Pingjian Ding, Cong Shen, Zihan Lai, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
November 13, 2019
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network
Pingjian Ding, Cheng Liang, Wenjue Ouyang, et al.
Artificial Intelligence in Medicine
|
November 4, 2023
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations
Yichen Zhong, Cong Shen, Xiaoting Xi, et al.
Computational Biology and Chemistry
|
June 22, 2023
SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information
Hanyu Luo, Ye Li, Huan Liu, et al.
IEEE Journal of Biomedical and Health Informatics
|
April 12, 2024
A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning
Yuxun Luo, Wenyu Shan, Li Peng, et al.
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of 6
Search research articles
Search
Showing results (41-50 of 59) with videos related to
Sort By:
Page
of 6
Computational and Structural Biotechnology Journal
|
March 1, 2024
Curvature-enhanced graph convolutional network for biomolecular interaction prediction
Cong Shen, Pingjian Ding, Junjie Wee, et al.
Plos One
|
June 17, 2024
Deep graph contrastive learning model for drug-drug interaction prediction
Zhenyu Jiang, Zhi Gong, Xiaopeng Dai, et al.
Current Topics in Medicinal Chemistry
|
March 31, 2018
Discovering Synergistic Drug Combination from a Computational Perspective
Pingjian Ding, Jiawei Luo, Cheng Liang, et al.
Molecules (Basel, Switzerland)
|
June 20, 2018
Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein⁻Protein Interaction Network
Buwen Cao, Shuguang Deng, Hua Qin, et al.
Journal of Biomedical Informatics
|
April 15, 2026
A pipeline towards missing IS-A relationship discovery in the Gene Ontology
Dong Xiao, Lingyun Luo, Pingjian Ding, et al.
Journal of Chemical Information and Modeling
|
January 1, 2020
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization
Pingjian Ding, Cong Shen, Zihan Lai, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
November 13, 2019
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network
Pingjian Ding, Cheng Liang, Wenjue Ouyang, et al.
Artificial Intelligence in Medicine
|
November 4, 2023
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations
Yichen Zhong, Cong Shen, Xiaoting Xi, et al.
Computational Biology and Chemistry
|
June 22, 2023
SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information
Hanyu Luo, Ye Li, Huan Liu, et al.
IEEE Journal of Biomedical and Health Informatics
|
April 12, 2024
A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning
Yuxun Luo, Wenyu Shan, Li Peng, et al.
Page
of 6