Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Pingjian Ding

Showing results (41-50 of 59) with videos related to

Pageof 6
Sort By:
Computational and Structural Biotechnology Journal|March 1, 2024
Curvature-enhanced graph convolutional network for biomolecular interaction predictionCong Shen, Pingjian Ding, Junjie Wee, et al.
Plos One|June 17, 2024
Deep graph contrastive learning model for drug-drug interaction predictionZhenyu Jiang, Zhi Gong, Xiaopeng Dai, et al.
Current Topics in Medicinal Chemistry|March 31, 2018
Discovering Synergistic Drug Combination from a Computational PerspectivePingjian 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 NetworkBuwen 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 OntologyDong 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-regularizationPingjian 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 NetworkPingjian 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 associationsYichen 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 informationHanyu 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 LearningYuxun Luo, Wenyu Shan, Li Peng, et al.
Pageof 6

Showing results (41-50 of 59) with videos related to

Sort By:
Pageof 6
Computational and Structural Biotechnology Journal|March 1, 2024
Curvature-enhanced graph convolutional network for biomolecular interaction predictionCong Shen, Pingjian Ding, Junjie Wee, et al.
Plos One|June 17, 2024
Deep graph contrastive learning model for drug-drug interaction predictionZhenyu Jiang, Zhi Gong, Xiaopeng Dai, et al.
Current Topics in Medicinal Chemistry|March 31, 2018
Discovering Synergistic Drug Combination from a Computational PerspectivePingjian 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 NetworkBuwen 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 OntologyDong 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-regularizationPingjian 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 NetworkPingjian 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 associationsYichen 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 informationHanyu 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 LearningYuxun Luo, Wenyu Shan, Li Peng, et al.
Pageof 6