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Journal of Chemical Information and Modeling
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October 10, 2025
GLA-Synergy: An Interpretable Global-Local Adaptive Framework for Drug Synergy Prediction in Cancer Treatment
Lizhi Deng, Shiyu Yan, Jiaoxing Yang, et al.
Bioinformatics (Oxford, England)
|
December 28, 2020
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors
Cong Shen, Jiawei Luo, Wenjue Ouyang, et al.
Journal of Biomedical Informatics
|
February 27, 2018
Human disease MiRNA inference by combining target information based on heterogeneous manifolds
Pingjian Ding, Jiawei Luo, Cheng Liang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
February 25, 2020
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization
Jiawei Luo, Cong Shen, Zihan Lai, et al.
Journal of Biomedical Informatics
|
January 4, 2026
A computational framework for predicting drug-target interactions by fusing gene ontology information with cross attention
Wenchao Cui, Pingjian Ding, Lingyun Luo, et al.
Interdisciplinary Sciences, Computational Life Sciences
|
February 21, 2021
An In Silico Method for Predicting Drug Synergy Based on Multitask Learning
Xin Chen, Lingyun Luo, Cong Shen, et al.
Journal of Cellular and Molecular Medicine
|
July 22, 2018
SNMDA: A novel method for predicting microRNA-disease associations based on sparse neighbourhood
Yu Qu, Huaxiang Zhang, Cheng Liang, et al.
Computational Biology and Chemistry
|
July 27, 2024
Multi-scale DNA language model improves 6 mA binding sites prediction
Anlin Hou, Hanyu Luo, Huan Liu, et al.
Computational Biology and Chemistry
|
April 5, 2024
Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network
Yuxun Luo, Shasha Li, Li Peng, et al.
RSC Advances
|
May 9, 2022
NCPCDA: network consistency projection for circRNA-disease association prediction
Guanghui Li, Yingjie Yue, Cheng Liang, et al.
Page
of 6
Search research articles
Search
Showing results (31-40 of 59) with videos related to
Sort By:
Page
of 6
Journal of Chemical Information and Modeling
|
October 10, 2025
GLA-Synergy: An Interpretable Global-Local Adaptive Framework for Drug Synergy Prediction in Cancer Treatment
Lizhi Deng, Shiyu Yan, Jiaoxing Yang, et al.
Bioinformatics (Oxford, England)
|
December 28, 2020
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors
Cong Shen, Jiawei Luo, Wenjue Ouyang, et al.
Journal of Biomedical Informatics
|
February 27, 2018
Human disease MiRNA inference by combining target information based on heterogeneous manifolds
Pingjian Ding, Jiawei Luo, Cheng Liang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
February 25, 2020
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization
Jiawei Luo, Cong Shen, Zihan Lai, et al.
Journal of Biomedical Informatics
|
January 4, 2026
A computational framework for predicting drug-target interactions by fusing gene ontology information with cross attention
Wenchao Cui, Pingjian Ding, Lingyun Luo, et al.
Interdisciplinary Sciences, Computational Life Sciences
|
February 21, 2021
An In Silico Method for Predicting Drug Synergy Based on Multitask Learning
Xin Chen, Lingyun Luo, Cong Shen, et al.
Journal of Cellular and Molecular Medicine
|
July 22, 2018
SNMDA: A novel method for predicting microRNA-disease associations based on sparse neighbourhood
Yu Qu, Huaxiang Zhang, Cheng Liang, et al.
Computational Biology and Chemistry
|
July 27, 2024
Multi-scale DNA language model improves 6 mA binding sites prediction
Anlin Hou, Hanyu Luo, Huan Liu, et al.
Computational Biology and Chemistry
|
April 5, 2024
Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network
Yuxun Luo, Shasha Li, Li Peng, et al.
RSC Advances
|
May 9, 2022
NCPCDA: network consistency projection for circRNA-disease association prediction
Guanghui Li, Yingjie Yue, Cheng Liang, et al.
Page
of 6