Xiang-zhen Kong

Rizhao, 276826, China

Last Updated: 09/26/2026

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Found 25 publications

A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data.

A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data.

Journal: IEEE/ACM transactions on computational biology and bioinformatics

Published: June 07, 2023

KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification.

KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification.

Journal: Computational biology and chemistry

Published: October 27, 2022

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis.

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis.

Journal: BMC bioinformatics

Published: May 07, 2022

TLNPMD: Prediction of miRNA-Disease Associations Based on miRNA-Drug-Disease Three-Layer Heterogeneous Network.

TLNPMD: Prediction of miRNA-Disease Associations Based on miRNA-Drug-Disease Three-Layer Heterogeneous Network.

Journal: Molecules (Basel, Switzerland)

Published: May 02, 2022

Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data.

Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data.

Journal: Journal of bioinformatics and computational biology

Published: February 22, 2022

Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection.

Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection.

Journal: IEEE journal of biomedical and health informatics

Published: February 14, 2022

Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.

Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.

Journal: IEEE journal of biomedical and health informatics

Published: June 22, 2021

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.

Journal: BMC bioinformatics

Published: May 25, 2021

Joint Lp-Norm and L2,1-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery.

Joint Lp-Norm and L2,1-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery.

Journal: Frontiers in genetics

Published: October 26, 2020

Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework.

Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework.

Journal: IEEE/ACM transactions on computational biology and bioinformatics

Published: October 07, 2020

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.

Journal: BMC bioinformatics

Published: June 18, 2020

WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.

WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.

Journal: IEEE journal of biomedical and health informatics

Published: April 15, 2020

Showing 1-12 of 25

Last Updated: 09/26/2026