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Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.

M. Hou, J. Liu, J. Shang, Y. Gao, X. Kong, and L. Dai. ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 407-418. Springer, (2018)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.C. Jiao, Y. Gao, N. Yu, J. Liu, and 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, and J. Liu. IEEE J. Biomed. Health Informatics, 28 (5): 3178-3185 (May 2024)Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.M. Gao, Z. Cui, Y. Gao, J. Wang, and 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, and 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, and M. Wu. BIBM, page 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, and C. Feng. BIBM, page 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, and J. Shang. BIBM, page 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, and Y. Du. BIBM, page 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, and X. Kong. BIBM, page 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, and J. Liu. BIBM, page 233-236. IEEE, (2023)

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Disambiguation of "Gao, Ying-Lian"

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Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.

Please choose a person to relate this publication to

Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gao, Ying-Lian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.

Please choose a person to relate this publication to

Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.