List of works - Jin-Xing Liu

<i>Automatic epileptic seizure detection using graph-regularized non-negative matrix factorization and kernel-based robust probabilistic collaborative representation</i>

scientific article published in 2022

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.

scientific article

A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering

scientific article published on 03 November 2017

A new method for mining information of co-expression network based on multi-cancers integrated data

scientific article published on 30 December 2019

Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations

scientific article published in 2021

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

scientific article published on 07 October 2020

DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection

scientific article published on 24 September 2019

Differentially expressed genes selection via Laplacian regularized low-rank representation method.

scientific article

Dual Hyper-graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification

scientific article published on 19 February 2020

Dual-network sparse graph regularized matrix factorization for predicting miRNA-disease associations

scientific article published on 06 February 2019

HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions

scientific article published on 21 December 2018

Integrative graph regularized matrix factorization for drug-pathway associations analysis

scientific article published on 08 December 2018

Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction.

scientific article

LJELSR: A Strengthened Version of JELSR for Feature Selection and Clustering

scientific article published on 18 February 2019

Laplacian regularized low-rank representation for cancer samples clustering

scientific article published on 19 November 2018

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

scientific article published on 14 October 2020

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

scientific article published on 24 June 2019

Network analysis based on low-rank method for mining information on integrated data of multi-cancers

scientific article published on 03 December 2018

Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data

scientific article published on 26 September 2023

PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering.

scientific article

Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores

scientific article published on 13 January 2020

Regularized Non-negative Matrix Factorization for Identifying Differential Genes and Clustering Samples: a Survey.

scientific article

Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes

scientific article published on 04 July 2017

Robust and Efficient Biomolecular Clustering of Tumor Based on ${p}$ -Norm Singular Value Decomposition

scientific article published on 18 May 2017

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data

scientific article published on 22 February 2019

Tensor Decomposition based on Global Features and Sparse Structure for Analyzing Cancer Multi-omics Data

scientific article published in 2022

The computational prediction of drug-disease interactions using the dual-network L-CMF method

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

scientific article published in 2022

List of works by Jin-Xing Liu

<i>Automatic epileptic seizure detection using graph-regularized non-negative matrix factorization and kernel-based robust probabilistic collaborative representation</i>

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.

A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering

A new method for mining information of co-expression network based on multi-cancers integrated data

Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection

Differentially expressed genes selection via Laplacian regularized low-rank representation method.

Dual Hyper-graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification

Dual-network sparse graph regularized matrix factorization for predicting miRNA-disease associations

HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions

Integrative graph regularized matrix factorization for drug-pathway associations analysis

Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction.

LJELSR: A Strengthened Version of JELSR for Feature Selection and Clustering

Laplacian regularized low-rank representation for cancer samples clustering

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

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

Network analysis based on low-rank method for mining information on integrated data of multi-cancers

Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data

PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering.

Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores

Regularized Non-negative Matrix Factorization for Identifying Differential Genes and Clustering Samples: a Survey.

Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes

Robust and Efficient Biomolecular Clustering of Tumor Based on ${p}$ -Norm Singular Value Decomposition

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data

Tensor Decomposition based on Global Features and Sparse Structure for Analyzing Cancer Multi-omics Data

The computational prediction of drug-disease interactions using the dual-network L-CMF method

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