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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)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.C. Feng, Y. Xu, J. Liu, Y. Gao, and C. Zheng. IEEE Trans. Neural Networks Learn. Syst., 30 (10): 2926-2937 (2019)Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.Y. Hao, Y. Gao, M. Hou, L. Dai, and J. Liu. Complex., (2019)L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.L. Ren, Y. Gao, J. Liu, R. Zhu, and X. Kong. Comput. Biol. Chem., (2020)BRWMC: Predicting lncRNA-disease associations based on bi-random walk and matrix completion on disease and lncRNA networks.G. Zhang, and Y. Gao. Comput. Biol. Chem., (April 2023)Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data.H. Yang, Y. Lei, J. Wang, X. Kong, J. Liu, and Y. Gao. J. Bioinform. Comput. Biol., 20 (2): 2250002:1-2250002:20 (2022)SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.B. Liu, Y. Gao, F. Li, C. Zheng, and J. Liu. Knowl. Based Syst., (January 2024)Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases.M. Yin, Y. Gao, J. Shang, C. Zheng, and J. Liu. Future Gener. Comput. Syst., (2022)WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.J. Liu, Z. Cui, Y. Gao, and X. Kong. IEEE J. Biomed. Health Informatics, 25 (1): 257-265 (2021)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)Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.L. Ren, Y. Gao, J. Liu, J. Shang, and C. Zheng. BMC Bioinform., 21 (1): 445 (2020)

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Disambiguation of "Gao, Ying-Lian"

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Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.

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 Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.

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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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.