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Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations.

M. Gao, Z. Cui, Y. Gao, F. Li, и J. Liu. ICIC (3), том 11645 из Lecture Notes in Computer Science, стр. 318-326. Springer, (2019)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

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Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.C. Jiao, Y. Gao, N. Yu, J. Liu, и L. Qi. IEEE J. Biomed. Health Informatics, 24 (10): 3002-3011 (2020)KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder.W. Kang, Y. Gao, Y. Wang, F. Li, и J. Liu. IEEE J. Biomed. Health Informatics, 28 (5): 3178-3185 (мая 2024)Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.M. Gao, Z. Cui, Y. Gao, J. Wang, и J. Liu. IEEE J. Biomed. Health Informatics, 25 (3): 881-890 (2021)LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network.W. Xi, J. Wang, Y. Zhang, J. Liu, и Y. Gao. CoRR, (2024)Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes.N. Yu, J. Liu, Y. Gao, C. Zheng, J. Wang, и M. Wu. BIBM, стр. 1752-1756. IEEE Computer Society, (2017)Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm.M. Wu, J. Liu, Y. Gao, X. Kong, и C. Feng. BIBM, стр. 1741-1745. IEEE Computer Society, (2017)Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection.N. Yu, Y. Gao, J. Liu, J. Wang, и J. Shang. BIBM, стр. 578-582. IEEE Computer Society, (2018)Differentially expressed genes selection via Truncated Nuclear Norm Regularization.Y. Wang, J. Liu, Y. Gao, X. Kong, C. Zheng, и Y. Du. BIBM, стр. 1851-1855. IEEE Computer Society, (2016)Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.C. Wang, Y. Gao, C. Jiao, J. Liu, C. Zheng, и X. Kong. BIBM, стр. 121-125. IEEE, (2020)GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network.W. Kang, C. Zheng, Y. Gao, J. Wang, J. Shang, и J. Liu. BIBM, стр. 233-236. IEEE, (2023)

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