Xiang-Zhen Kong

According to our database1, Xiang-Zhen Kong authored at least 22 papers between 2012 and 2021.

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Bibliography

2021
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021

2020
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data.
Complex., 2020

L<sub>2, 1</sub>-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.
Comput. Biol. Chem., 2020

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
BMC Bioinform., 2020

Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification.
Proceedings of the Intelligent Computing Theories and Application, 2020

Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Laplacian regularized low-rank representation for cancer samples clustering.
Comput. Biol. Chem., 2019

Network analysis based on low-rank method for mining information on integrated data of multi-cancers.
Comput. Biol. Chem., 2019

Integrative graph regularized matrix factorization for drug-pathway associations analysis.
Comput. Biol. Chem., 2019

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.
BMC Bioinform., 2019

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.
IEEE Access, 2019

An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis.
IEEE Access, 2019

DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile.
Proceedings of the Recent Advances in Data Science, 2019

Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.
Proceedings of the Recent Advances in Data Science, 2019

2018
Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.
Proceedings of the Intelligent Computing Theories and Application, 2018

Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A novel low-rank representation method for identifying differentially expressed genes.
Int. J. Data Min. Bioinform., 2017

2012
Characterization, ecological and health risks of DDTs and HCHs in water from a large shallow Chinese lake.
Ecol. Informatics, 2012


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