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Jun-Liang Shang

Showing results (1-10 of 11) with videos related to

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Journal of Translational Medicine|October 4, 2024
Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusionRong Zhu, Wen-Xin Pan, Jin-Xing Liu, et al.
BMC Bioinformatics|January 1, 2020
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression dataChun-Mei Feng, Yong Xu, Mi-Xiao Hou, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 12, 2024
A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type IdentificationJuan Wang, Tian-Jing Qiao, Chun-Hou Zheng, et al.
IEEE Journal of Biomedical and Health Informatics|September 16, 2025
MiRNA-disease Association Prediction via Cosine Annealing and Multi-Head Self-Attention in HyperGCNRong Zhu, Jie Zheng, Zheng-Hua Chang, et al.
Computational Biology and Chemistry|October 4, 2016
Differentially expressed genes selection via Laplacian regularized low-rank representation methodYa-Xuan Wang, Jin-Xing Liu, Ying-Lian Gao, et al.
Computer Methods in Biomechanics and Biomedical Engineering|March 13, 2023
Joint L<sub>2,p</sub>-norm and random walk graph constrained PCA for single-cell RNA-seq dataTai-Ge Wang, Jun-Liang Shang, Jin-Xing Liu, et al.
IEEE Journal of Biomedical and Health Informatics|July 28, 2023
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type IdentificationJuan Wang, Lin-Ping Wang, Sha-Sha Yuan, et al.
Computational Biology and Chemistry|November 6, 2025
A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associationsLing-Yun Dai, Cheng-Long Mi, Xu Wang, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 20, 2023
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph RegularizationZhen-Chang Wang, Jin-Xing Liu, Jun-Liang Shang, et al.
Computational Biology and Chemistry|April 9, 2023
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identificationLin-Ping Wang, Jin-Xing Liu, Jun-Liang Shang, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Translational Medicine|October 4, 2024
Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusionRong Zhu, Wen-Xin Pan, Jin-Xing Liu, et al.
BMC Bioinformatics|January 1, 2020
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression dataChun-Mei Feng, Yong Xu, Mi-Xiao Hou, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 12, 2024
A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type IdentificationJuan Wang, Tian-Jing Qiao, Chun-Hou Zheng, et al.
IEEE Journal of Biomedical and Health Informatics|September 16, 2025
MiRNA-disease Association Prediction via Cosine Annealing and Multi-Head Self-Attention in HyperGCNRong Zhu, Jie Zheng, Zheng-Hua Chang, et al.
Computational Biology and Chemistry|October 4, 2016
Differentially expressed genes selection via Laplacian regularized low-rank representation methodYa-Xuan Wang, Jin-Xing Liu, Ying-Lian Gao, et al.
Computer Methods in Biomechanics and Biomedical Engineering|March 13, 2023
Joint L<sub>2,p</sub>-norm and random walk graph constrained PCA for single-cell RNA-seq dataTai-Ge Wang, Jun-Liang Shang, Jin-Xing Liu, et al.
IEEE Journal of Biomedical and Health Informatics|July 28, 2023
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type IdentificationJuan Wang, Lin-Ping Wang, Sha-Sha Yuan, et al.
Computational Biology and Chemistry|November 6, 2025
A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associationsLing-Yun Dai, Cheng-Long Mi, Xu Wang, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 20, 2023
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph RegularizationZhen-Chang Wang, Jin-Xing Liu, Jun-Liang Shang, et al.
Computational Biology and Chemistry|April 9, 2023
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identificationLin-Ping Wang, Jin-Xing Liu, Jun-Liang Shang, et al.
Pageof 2