Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.

J. Wang, C. Lu, J. Liu, L. Dai, and X. Kong. BMC Bioinform., 20-S (22): 718 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yu-Yun Dai

Dchi-ling Ling

Jing Dai

Huangdong Dai

Yangguang Dai

Other publications of authors with the same name

Laplacian regularized low-rank representation for cancer samples clustering.J. Wang, J. Liu, X. Kong, S. Yuan, and L. Dai. Comput. Biol. Chem., (2019)L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.Z. Cui, Y. Gao, J. Liu, L. Dai, and S. Yuan. BMC Bioinform., 20-S (8): 287:1-287:13 (2019)Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.J. Wang, C. Lu, J. Liu, L. Dai, and X. Kong. BMC Bioinform., 20-S (22): 718 (2019)Sparse robust graph-regularized non-negative matrix factorization based on correntropy.C. Wang, Y. Gao, J. Liu, L. Dai, and J. Shang. J. Bioinform. Comput. Biol., 19 (1): 2050047:1-2050047:24 (2021)Two photon couplings of the lightest isoscalars from BELLE dataL. Dai, and M. Pennington. (Mar 28, 2014)A Fast Quantum Clustering Approach for Cancer Gene Clustering.R. Zhu, G. Li, J. Liu, L. Dai, S. Yuan, and Y. Guo. BIBM, page 1610-1613. IEEE Computer Society, (2018)Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data.Y. Song, X. Kong, J. Liu, J. Wang, S. Yuan, and L. Dai. BIBM, page 92-95. IEEE, (2020)PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data.C. Feng, Y. Xu, M. Hou, L. Dai, and J. Shang. BMC Bioinform., 20-S (22): 716 (2019)Predicting miRNA-disease associations via layer attention graph convolutional network model.H. Han, R. Zhu, J. Liu, and L. Dai. BMC Medical Informatics Decis. Mak., 22 (1): 69 (2022)Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations.L. Dai, J. Liu, R. Zhu, J. Wang, and S. Yuan. J. Comput. Sci. Technol., 36 (2): 276-287 (2021)

BibSonomy

Disambiguation of "Dai, Ling-Yun"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.

Please choose a person to relate this publication to

Yu-Yun Dai

Dchi-ling Ling

Jing Dai

Huangdong Dai

Yangguang Dai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dai, Ling-Yun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.

Please choose a person to relate this publication to

Yu-Yun Dai

Dchi-ling Ling

Jing Dai

Huangdong Dai

Yangguang Dai

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.