Xiang-Zhen Kong

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 37

Top Topics

Gene Expression

Factorization Method

Differentially Expressed

Top Venues

Comput. Biol. Chem.

Publications

He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Tai-Ge Wang, Xiang-Zhen Kong, Shengjun Li, Juan Wang
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification. ISBRA (2023)
Yi-Ming Wang, Xiang-Zhen Kong, Boxin Guan, Chun-Hou Zheng, Ying-Lian Gao
Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis. ICIC (3) (2023)
He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. 23 (1) (2022)
Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Hang-Jin Yang, Yuxia Lei, Juan Wang, Xiang-Zhen Kong, Jin-Xing Liu, Ying-Lian Gao
Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. J. Bioinform. Comput. Biol. 20 (2) (2022)
Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng
Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Juan Wang, Li-Hong Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shengjun Li
Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. IEEE Trans. Cybern. 52 (6) (2022)
Pattarawat Chormai, Yi Pu, Haoyu Hu, Simon E. Fisher, Clyde Francks, Xiang-Zhen Kong
Machine learning of large-scale multimodal brain imaging data reveals neural correlates of hand preference. NeuroImage 262 (2022)
Juan Wang, Cong-Hai Lu, Xiang-Zhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. (12) (2022)
He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA (2021)
Jin-Xing Liu, Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25 (1) (2021)
Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. BIBM (2021)
Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification. Knowl. Based Syst. 227 (2021)
Zhen-Xin Niu, Liang-Rui Ren, Rong Zhu, Xiang-Zhen Kong, Ying-Lian Gao, Jin-Xing Liu
Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification. ICIC (2) (2021)
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. 2020 (2020)
Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yuxia Lei, Junliang Shang, Xiang-Zhen Kong
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. BIBM (2020)
Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong
-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification. Comput. Biol. Chem. 89 (2020)
Tianru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. BMC Bioinform. 21 (1) (2020)
Yu-Ying Zhao, Mao-Li Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM (2020)
Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. ICIC (2) (2020)
Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. BIBM (2020)
Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM (2020)
Meng-Meng Yin, Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong
DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile. IDMB (2019)
Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiang-Zhen Kong
Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. 78 (2019)
Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access 7 (2019)
Cui-Na Jiao, Tianru Wu, Jin-Xing Liu, Xiang-Zhen Kong
Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection. IDMB (2019)
Juan Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shasha Yuan, Ling-Yun Dai
Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. 78 (2019)
Ying-Lian Gao, Mi-Xiao Hou, Jin-Xing Liu, Xiang-Zhen Kong
An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis. IEEE Access 7 (2019)
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR (2019)
Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong
Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. (22) (2019)
Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong, Junliang Shang
Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. 78 (2019)
Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong, Mi-Xiao Hou, Shasha Yuan
Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM (2018)
Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiang-Zhen Kong, Ling-Yun Dai
Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) (2018)
Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiang-Zhen Kong, Shasha Yuan
A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. 19 (3) (2017)
Wei He, Ning Qin, Qi-Shuang He, Yan Wang, Xiang-Zhen Kong, Fu-Liu Xu
Characterization, ecological and health risks of DDTs and HCHs in water from a large shallow Chinese lake. Ecol. Informatics 12 (2012)