Xiang-Zhen Kong
Orcid: 0000-0002-1315-3570
According to our database1,
Xiang-Zhen Kong
authored at least 40 papers
between 2012 and 2023.
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Bibliography
2023
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.
BMC Bioinform., January, 2022
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.
IEEE J. Biomed. Health Informatics, 2022
Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection.
IEEE J. Biomed. Health Informatics, 2022
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation.
IEEE Trans. Cybern., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Machine learning of large-scale multimodal brain imaging data reveals neural correlates of hand preference.
NeuroImage, 2022
Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data.
J. Bioinform. Comput. Biol., 2022
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis.
BMC Bioinform., 2022
2021
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021
Development of navigation network revealed by resting-state and task-state functional connectivity.
NeuroImage, 2021
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.
Knowl. Based Syst., 2021
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification.
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
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
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
NeuroImage, 2017
A novel low-rank representation method for identifying differentially expressed genes.
Int. J. Data Min. Bioinform., 2017
2015
Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas.
NeuroImage, 2015
2012
Characterization, ecological and health risks of DDTs and HCHs in water from a large shallow Chinese lake.
Ecol. Informatics, 2012