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Changzhi Jiang

Showing results (1-10 of 6) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 20, 2022
KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease AssociationsChangzhi Jiang, Minli Tang, Shuting Jin, et al.
Bioinformatics (Oxford, England)|March 26, 2024
MoleMCL: a multi-level contrastive learning framework for molecular pre-trainingXinyi Zhang, Yanni Xu, Changzhi Jiang, et al.
Briefings in Bioinformatics|March 29, 2022
DeepTTA: a transformer-based model for predicting cancer drug responseLikun Jiang, Changzhi Jiang, Xinyu Yu, et al.
Briefings in Bioinformatics|February 15, 2023
MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learningXinru Ruan, Changzhi Jiang, Peixuan Lin, et al.
Bioinformatics (Oxford, England)|June 21, 2024
Surface-based multimodal protein-ligand binding affinity predictionShiyu Xu, Lian Shen, Menglong Zhang, et al.
Patterns (New York, N.Y.)|August 25, 2021
HeTDR: Drug repositioning based on heterogeneous networks and text miningShuting Jin, Zhangming Niu, Changzhi Jiang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 20, 2022
KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease AssociationsChangzhi Jiang, Minli Tang, Shuting Jin, et al.
Bioinformatics (Oxford, England)|March 26, 2024
MoleMCL: a multi-level contrastive learning framework for molecular pre-trainingXinyi Zhang, Yanni Xu, Changzhi Jiang, et al.
Briefings in Bioinformatics|March 29, 2022
DeepTTA: a transformer-based model for predicting cancer drug responseLikun Jiang, Changzhi Jiang, Xinyu Yu, et al.
Briefings in Bioinformatics|February 15, 2023
MSGCL: inferring miRNA-disease associations based on multi-view self-supervised graph structure contrastive learningXinru Ruan, Changzhi Jiang, Peixuan Lin, et al.
Bioinformatics (Oxford, England)|June 21, 2024
Surface-based multimodal protein-ligand binding affinity predictionShiyu Xu, Lian Shen, Menglong Zhang, et al.
Patterns (New York, N.Y.)|August 25, 2021
HeTDR: Drug repositioning based on heterogeneous networks and text miningShuting Jin, Zhangming Niu, Changzhi Jiang, et al.
Pageof 1