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Computers in Biology and Medicine
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September 6, 2023
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding
Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Briefings in Bioinformatics
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November 11, 2024
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer
Lan Huang, Xin-Fei Wang, Yan Wang, et al.
Briefings in Functional Genomics
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April 3, 2022
BioDKG-DDI: predicting drug-drug interactions based on drug knowledge graph fusing biochemical information
Zhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, et al.
BMC Bioinformatics
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August 10, 2024
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks
Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Briefings in Bioinformatics
|
November 11, 2024
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 25, 2025
A Dynamic Multi-Scale Hypergraph Learning Framework Driven by Features and Structures for ceRNA-Disease Association Prediction
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
Briefings in Bioinformatics
|
October 29, 2024
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
Journal of Chemical Information and Modeling
|
September 4, 2024
RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding
Chang-Qing Yu, Xin-Fei Wang, Li-Ping Li, et al.
Journal of Chemical Information and Modeling
|
June 12, 2025
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
BMC Biology
|
June 8, 2025
iHofman: a predictive model integrating high-order and low-order features with weighted attention mechanisms for circRNA-miRNA interactions
Chang-Qing Yu, Chen Jiang, Lei Wang, et al.
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Showing results (1-10 of 20) with videos related to
Sort By:
Page
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Computers in Biology and Medicine
|
September 6, 2023
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding
Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Briefings in Bioinformatics
|
November 11, 2024
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer
Lan Huang, Xin-Fei Wang, Yan Wang, et al.
Briefings in Functional Genomics
|
April 3, 2022
BioDKG-DDI: predicting drug-drug interactions based on drug knowledge graph fusing biochemical information
Zhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, et al.
BMC Bioinformatics
|
August 10, 2024
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks
Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Briefings in Bioinformatics
|
November 11, 2024
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 25, 2025
A Dynamic Multi-Scale Hypergraph Learning Framework Driven by Features and Structures for ceRNA-Disease Association Prediction
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
Briefings in Bioinformatics
|
October 29, 2024
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
Journal of Chemical Information and Modeling
|
September 4, 2024
RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding
Chang-Qing Yu, Xin-Fei Wang, Li-Ping Li, et al.
Journal of Chemical Information and Modeling
|
June 12, 2025
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks
Xin-Fei Wang, Lan Huang, Yan Wang, et al.
BMC Biology
|
June 8, 2025
iHofman: a predictive model integrating high-order and low-order features with weighted attention mechanisms for circRNA-miRNA interactions
Chang-Qing Yu, Chen Jiang, Lei Wang, et al.
Page
of 2