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Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.

J. Liu, C. Feng, X. Kong, and Y. Xu. IEEE Access, (2019)

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Ye Feng University of Stuttgart

Dr. Barbara Meisterernst University of Stuttgart

Florian Meinert University of Stuttgart

Univ. -Prof. Dr. -Ing. Karsten Meier University of Stuttgart

Phi-Long Chung University of Stuttgart

Other publications of authors with the same name

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)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 Bioinformatics, 20-S (22): 716 (2019)Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes.L. Dai, C. Feng, J. Liu, C. Zheng, J. Yu, and M. Hou. Complexity, (2017)Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes.L. Dai, J. Liu, C. Zheng, J. Shang, C. Feng, and Y. Wang. BIBM, page 1900-1905. IEEE Computer Society, (2017)Robust Classification with Sparse Representation Fusion on Diverse Data Subsets.C. Feng, Y. Xu, Z. Li, and J. Yang. CoRR, (2019)Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection.L. Dai, C. Feng, J. Liu, C. Zheng, M. Hou, and J. Yu. BIBM, page 1253-1258. IEEE, (2016)Brain MRI super-resolution using coupled-projection residual network.C. Feng, K. Wang, S. Lu, Y. Xu, and X. Li. Neurocomputing, (2021)Group-Wise Learning for Weakly Supervised Semantic Segmentation.T. Zhou, L. Li, X. Li, C. Feng, J. Li, and L. Shao. IEEE Trans. Image Process., (2022)Coupled-Projection Residual Network for MRI Super-Resolution.C. Feng, K. Wang, S. Lu, Y. Xu, H. Kong, and L. Shao. CoRR, (2019)A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection.C. Feng, J. Liu, Y. Gao, J. Wang, D. Wang, and Y. Du. BIBM, page 1795-1799. IEEE Computer Society, (2016)

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Disambiguation of "Feng, Chun-Mei"

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Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.

Please choose a person to relate this publication to

Ye Feng University of Stuttgart

Dr. Barbara Meisterernst University of Stuttgart

Florian Meinert University of Stuttgart

Univ. -Prof. Dr. -Ing. Karsten Meier University of Stuttgart

Phi-Long Chung University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Feng, Chun-Mei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.

Please choose a person to relate this publication to

Ye Feng University of Stuttgart

Dr. Barbara Meisterernst University of Stuttgart

Florian Meinert University of Stuttgart

Univ. -Prof. Dr. -Ing. Karsten Meier University of Stuttgart

Phi-Long Chung University of Stuttgart

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

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.