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Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.

Y. Gao, M. Wu, J. Liu, C. Zheng, and J. Wang. IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 2420-2430 (2022)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation.G. Zhang, S. Li, X. Dou, J. Shang, Q. Ren, and Y. Gao. BIBM, page 2216-2223. IEEE, (2022)Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy.C. Jiao, J. Liu, Y. Gao, X. Kong, C. Zheng, and X. Yu. BIBM, page 418-423. IEEE, (2021)MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes.S. Wang, J. Liu, B. Liu, L. Dai, F. Li, and Y. Gao. BIBM, page 648-653. IEEE, (2023)DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile.M. Yin, Z. Cui, J. Liu, Y. Gao, and X. Kong. IDMB, volume 1099 of Communications in Computer and Information Science, page 196-208. Springer, (2019)Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder.Y. Gao, D. Zhang, C. Jiao, Y. Gao, and J. Liu. ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 359-367. Springer, (2023)Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis.Y. Wang, X. Kong, B. Guan, C. Zheng, and Y. Gao. ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 324-334. Springer, (2023)A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.J. Liu, Y. Xu, Y. Gao, C. Zheng, D. Wang, and Q. Zhu. IEEE ACM Trans. Comput. Biol. Bioinform., 13 (2): 392-398 (2016)DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.J. Liu, M. Gao, Z. Cui, Y. Gao, and F. Li. BMC Bioinform., 22-S (3): 241 (2021)The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.Z. Cui, Y. Gao, J. Liu, J. Wang, J. Shang, and L. Dai. BMC Bioinform., 20 (1): 5 (December 2019)NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations.Y. Gao, Z. Cui, J. Liu, J. Wang, and C. Zheng. BMC Bioinform., 20 (1): 353:1-353:10 (2019)

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Disambiguation of "Gao, Ying-Lian"

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Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.

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 Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.

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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Chicago
DIN 1505
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Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.