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Xin-Fei Wang

Showing results (1-10 of 20) with videos related to

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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 embeddingXin-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 cancerLan 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 informationZhong-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 networksXin-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 biomarkersXin-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 PredictionXin-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 networksXin-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 EmbeddingChang-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 NetworksXin-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 interactionsChang-Qing Yu, Chen Jiang, Lei Wang, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
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 embeddingXin-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 cancerLan 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 informationZhong-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 networksXin-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 biomarkersXin-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 PredictionXin-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 networksXin-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 EmbeddingChang-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 NetworksXin-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 interactionsChang-Qing Yu, Chen Jiang, Lei Wang, et al.
Pageof 2