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LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.

W. Xi, F. Zhou, Y. Gao, J. Liu, and C. Zheng. IEEE ACM Trans. Comput. Biol. Bioinform., 20 (3): 1774-1782 (2023)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

A novel low-rank representation method for identifying differentially expressed genes.X. Xu, Y. Gao, J. Liu, Y. Wang, L. Dai, X. Kong, and S. Yuan. IJDMB, 19 (3): 185-201 (2017)An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis.Y. Gao, M. Hou, J. Liu, and X. Kong. IEEE Access, (2019)A multi-view classification and feature selection method via sparse low-rank regression analysis.Y. Lu, Y. Gao, P. Li, and J. Liu. Int. J. Data Min. Bioinform., 24 (2): 140-159 (2020)Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition.J. Liu, D. Wang, C. Zheng, Y. Gao, S. Wu, and J. Shang. BMC Syst. Biol., 11 (6): 63-73 (2017)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)Differentially expressed genes selection via Laplacian regularized low-rank representation method.Y. Wang, J. Liu, Y. Gao, C. Zheng, and J. Shang. Comput. Biol. Chem., (2016)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)LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.W. Xi, F. Zhou, Y. Gao, J. Liu, and C. Zheng. IEEE ACM Trans. Comput. Biol. Bioinform., 20 (3): 1774-1782 (2023)

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Disambiguation of "Gao, Ying-Lian"

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LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.

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 LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.

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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LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.