Jin-Xing Liu

发表

New Robust Face Recognition Methods Based on Linear Regression

J. Wen, Jian-Xun Mi, Jin-Xing Liu, 2012, PloS one.

Application of a Deep Matrix Factorization Model on Integrated Gene Expression Data

Mi-Xiao Hou, Jin-Xing Liu, Yong-Jing Hao, 2020, Current Bioinformatics.

Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition

J. You, C. Zheng, Jin-Xing Liu, 2014, IEEE Transactions on NanoBioscience.

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

C. Zheng, Mi-Xiao Hou, Jin-Xing Liu, 2017, IEEE Transactions on NanoBioscience.

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

Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, 2017, IEEE Transactions on NanoBioscience.

A P-Norm Robust Feature Extraction Method for Identifying Differentially Expressed Genes

Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, 2015, PloS one.

Metasample-Based Robust Sparse Representation for Tumor Classification

C. Zheng, Jin-Xing Liu, Bin Gan, 2013 .

A Class-Information-Based Penalized Matrix Decomposition for Identifying Plants Core Genes Responding to Abiotic Stresses

Jian-Xun Mi, Jin-Xing Liu, Ying-Lian Gao, 2014, PloS one.

Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function

C. Zheng, Jin-Xing Liu, Xiangzhen Kong, 2020, Frontiers in Genetics.

Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2019, IDMB.

Coexpression Module Discovery Based on Gene Expression Data

Jin-Xing Liu, Ying-Lian Gao, Dong Wang, 2016 .

ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA–protein interactions

Jin-Xing Liu, Guangshun Li, Rong Zhu, 2019, BMC Bioinformatics.

DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile

Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, 2019, IDMB.

An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions

Chun-Hou Zheng, Jin-Xing Liu, Yan Sun, 2015, BioMed research international.

A Class-information-based SNMF method for selecting characteristic genes

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2014, 2014 8th International Conference on Systems Biology (ISB).

A Low-Rank Representation Method Regularized by Dual-Hypergraph Laplacian for Selecting Differentially Expressed Genes

Jin-Xing Liu, Xiangzhen Kong, Lingyun Dai, 2019, Human Heredity.

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

Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, 2020, BMC Bioinformatics.

Network Analyses of Integrated Differentially Expressed Genes in Papillary Thyroid Carcinoma to Identify Characteristic Genes

Jin-Xing Liu, J. Shang, Qian Ding, 2019, Genes.

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

Jin-Xing Liu, Xiangzhen Kong, Juan Wang, 2022, IEEE Journal of Biomedical and Health Informatics.

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, Future Gener. Comput. Syst..

NMFNA: a non-negative matrix factorization network analysis method for identifying communities and characteristic genes from pancreatic cancer data

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2020 .

NMFNA: a non-negative matrix factorization network analysis method for identifying communities and characteristic genes from multi-type pancreatic cancer data

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2020 .

SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints

C. Zheng, Jin-Xing Liu, Juan Wang, 2022, IEEE Journal of Biomedical and Health Informatics.

Predicting miRNA-disease associations via layer attention graph convolutional network model

Jin-Xing Liu, Rong Zhu, Lingyun Dai, 2022, BMC Medical Informatics and Decision Making.

Automatic Epileptic Seizure Detection Using Graph-Regularized Non-Negative Matrix Factorization and Kernel-Based Robust Probabilistic Collaborative Representation

Jin-Xing Liu, Juan Wang, Lingyun Dai, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

BMPMDA: Prediction of MiRNA-Disease Associations Using a Space Projection Model Based on Block Matrix

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2020, IEEE Transactions on Cybernetics.

Adaptive Total-Variation Regularized Low-Rank Representation for Analyzing Single-Cell RNA-seq Data

Jin-Xing Liu, Ying-Lian Gao, Juan Wang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2017, BMC Systems Biology.

Identifying drug-pathway association pairs based on L1L2,1-integrative penalized matrix decomposition

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2017, Oncotarget.

L21-iPaD: An efficient method for drug-pathway association pairs inference

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints

Juan Wang, Jin-Xing Liu, Xiang-Zhen Kong, 2019, BMC Bioinformatics.

NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers

Feng Li, Jin-Xing Liu, Junliang Shang, 2019, IEEE Access.

Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data

Jiguo Yu, Yong Xu, Chun-Hou Zheng, 2016, IEEE Transactions on NanoBioscience.

RPCA-Based Tumor Classification Using Gene Expression Data

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Robust PCA based method for discovering differentially expressed genes

Yong Xu, Chun-Hou Zheng, Wen Sha, 2013, BMC Bioinformatics.

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey

Jiguo Yu, Yong Xu, Chun-Hou Zheng, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, Comput. Biol. Chem..

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring

Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, 2020, IEEE Journal of Biomedical and Health Informatics.

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

Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization

Jin-Xing Liu, Ying-Lian Gao, Zhen Cui, 2021, BMC Bioinformatics.

Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis

Ying-Lian Gao, Xiang-Zhen Kong, Cui-Na Jiao, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data

Jin-Xing Liu, Yue Hu, Yanni Zhu, 2020, BIC-TA.

Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations

Juan Wang, Jin-Xing Liu, Rong Zhu, 2021, Journal of Computer Science and Technology.

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations

Juan Wang, Chun-Hou Zheng, Jin-Xing Liu, 2019, BMC Bioinformatics.

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

Chun-Hou Zheng, Juan Wang, Jin-Xing Liu, 2019, BMC Bioinformatics.

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

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2019, Molecular omics.

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

Jin-Xing Liu, Meng-Meng Yin, Cui-Na Jiao, 2021, BMC Bioinformatics.

LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations

Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features

Chun-Hou Zheng, Jin-Xing Liu, Huiyu Li, 2018, ISBRA.

IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier

Yong Wang, Jin-Xing Liu, Rong Zhu, 2021, BMC Bioinform..

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

C. Zheng, Jin-Xing Liu, Xiangzhen Kong, 2022, BMC Bioinformatics.

A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis

Feng Liu, Chun-Hou Zheng, Jin-Xing Liu, 2017, Neurocomputing.

Integrative graph regularized matrix factorization for drug-pathway associations analysis

Juan Wang, Rong Zhu, Chun-Hou Zheng, 2019, Comput. Biol. Chem..

Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data

Juan Wang, Shasha Yuan, Jin-Xing Liu, 2018, ICIC.

Automatic detection for epileptic seizure using graph-regularized nonnegative matrix factorization and Bayesian linear discriminate analysis

Fangzhou Xu, Jin-Xing Liu, J. Shang, 2021, Biocybernetics and Biomedical Engineering.

Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data

Xiang-Zhen Kong, Jin-Xing Liu, Hang-Jin Yang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Qian Ding, Xuan Wang, Jin-Xing Liu, 2019, Comput. Biol. Chem..

MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2019, Comput. Biol. Chem..

A Survey of Multiple Sequence Alignment Techniques

Jian Zhang, Yong Xu, Jin-Xing Liu, 2015, ICIC.

Jin-Xing Liu, Shasha Yuan, Yanni Zhu, 2021, Interdisciplinary Sciences: Computational Life Sciences.

CNLLRR: A Novel Low-Rank Representation Method for Single-cell RNA-seq Data Analysis

Hongmin Cai, Chun-Hou Zheng, Ying-Lian Gao, 2019, bioRxiv.

NMFNA: A Non-negative Matrix Factorization Network Analysis Method for Identifying Modules and Characteristic Genes of Pancreatic Cancer

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2021, Frontiers in Genetics.

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

Chun-Hou Zheng, Juan Wang, Jin-Xing Liu, 2020, Complex..

Laplacian regularized low-rank representation for cancer samples clustering

Shasha Yuan, Juan Wang, Jin-Xing Liu, 2019, Comput. Biol. Chem..

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

Yue Hu, Jin-Xing Liu, Ying-Lian Gao, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions

Jin-Xing Liu, Ying-Lian Gao, Lingyun Dai, 2019, BMC Bioinformatics.

Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification

Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, 2020, IEEE Journal of Biomedical and Health Informatics.

A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering

Ying Guo, Rong Zhu, Jin-Xing Liu, 2017, Molecules.

Characteristic gene selection via L2,1-norm Sparse Principal Component Analysis

Jiguo Yu, Jin-Xing Liu, Ying-Lian Gao, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection

Yan Lindsay Sun, Jin-Xing Liu, Junliang Shang, 2020, Symmetry.

Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations

Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, 2020, IEEE Journal of Biomedical and Health Informatics.

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

Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong, 2020, IEEE Journal of Biomedical and Health Informatics.

A p-norm singular value decomposition method for robust tumor clustering

Yao Lu, Xiangzhen Kong, Chun-Hou Zheng, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

C. Zheng, Jin-Xing Liu, Xiangzhen Kong, 2021, Frontiers in Genetics.

Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2020, IEEE Journal of Biomedical and Health Informatics.

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

Jin-Xing Liu, Ying-Lian Gao, Juan Wang, 2017, BioMed research international.

Multiscale part mutual information for quantifying nonlinear direct associations in networks

Jin-Xing Liu, Junliang Shang, Jing Wang, 2021, Bioinform..

Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection

Jiguo Yu, Jin-Xing Liu, Ying-Lian Gao, 2015, ICIC.

Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification

Jin-Xing Liu, Juan Wang, Rong Zhu, 2021, Applied Intelligence.

Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification

Jin-Xing Liu, Ying-Lian Gao, Liang-Rui Ren, 2021, Knowl. Based Syst..

Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2021, Int. J. Mach. Learn. Cybern..

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

Chun-Hou Zheng, Liang-Rui Ren, Ying-Lian Gao, 2020, BMC Bioinform..

Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2012, Comput. Biol. Medicine.

SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions

Wenxiang Zhang, Jin-Xing Liu, Huiyu Li, 2016, ICIC.

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method

Wenwen Fan, Jin-Xing Liu, J. Shang, 2020, BMC Bioinformatics.

Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method

Yue Hu, Jin-Xing Liu, Ying-Lian Gao, 2019, Complex..

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

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2019, BMC Medical Genomics.

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection

Jin-Xing Liu, Ying-Lian Gao, Yong-Jing Hao, 2019, Complex..

Co-differential Gene Selection and Clustering Based on Graph Regularized Multi-View NMF in Cancer Genomic Data

Rong Zhu, Jin-Xing Liu, Ying-Lian Gao, 2018, Genes.

Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors

C. Zheng, Jin-Xing Liu, Feng Li, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions

Junying Zhang, C. Zheng, Jin-Xing Liu, 2016, BMC Bioinformatics.

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes

Jiguo Yu, Chun-Hou Zheng, Jin-Xing Liu, 2017, Complex..

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

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find “Checkerboard” Structures on Gene Expression Data

Yong Xu, Jin-Xing Liu, Xiang-Zhen Kong, 2019, IEEE Access.

A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data

Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang, 2019, J. Comput. Biol..

Predicting miRNA–Disease Associations Through Deep Autoencoder With Multiple Kernel Learning

C. Zheng, Jin-Xing Liu, Meng-Meng Yin, 2021, IEEE Transactions on Neural Networks and Learning Systems.

NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation

Chun-Hou Zheng, Ying-Lian Gao, Xiang-Zhen Kong, 2020, IEEE Transactions on Cybernetics.

Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace

Jin-Xing Liu, Jian-Xun Mi, Jian-Xun Mi, 2013, PloS one.

Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders

Yuanke Zhang, Yun Fang, Yan Lindsay Sun, 2015, ICIC.

A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes

Jin-Xing Liu, Huiyu Li, Junliang Shang, 2016, ICIC.

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

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2019, BMC Bioinformatics.

Sparse Graph Regularization Non-Negative Matrix Factorization Based on Huber Loss Model for Cancer Data Analysis

Chun-Hou Zheng, Chuan-Yuan Wang, Jin-Xing Liu, 2019, Front. Genet..

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

Bin Liu, Ke Yan, Yong Xu, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A New Model of Identifying Differentially Expressed Genes via Weighted Network Analysis Based on Dimensionality Reduction Method

Jin-Xing Liu, Ying-Lian Gao, Jin-Xing Liu, 2019 .

A compressed sensing based two-stage method for detecting epistatic interactions

Yan Lindsay Sun, Jin-Xing Liu, Junliang Shang, 2016, Int. J. Data Min. Bioinform..

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

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2017, IEEE Transactions on NanoBioscience.

HTRPCA: Hypergraph Regularized Tensor Robust Principal Component Analysis for Sample Clustering in Tumor Omics Data

C. Zheng, Jin-Xing Liu, Juan Wang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data

Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2019, IEEE Access.

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

Juan Wang, Chun-Hou Zheng, Jin-Xing Liu, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Hypergraph regularized NMF by L2,1-norm for Clustering and Com-abnormal Expression Genes Selection

Jin-Xing Liu, Ying-Lian Gao, Na Yu, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Fast Quantum Clustering Approach for Cancer Gene Clustering

Rong Zhu, Shasha Yuan, Guangshun Li, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes

Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes

Juan Wang, Chun-Hou Zheng, Jin-Xing Liu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data

Juan Wang, Jin-Xing Liu, Ying-Lian Gao, 2019, Human Genomics.

Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples

Rong Zhu, Shasha Yuan, Jin-Xing Liu, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, ICIC.

L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification

Rong Zhu, Liang-Rui Ren, Ying-Lian Gao, 2020, Comput. Biol. Chem..

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis

Jin-Xing Liu, Yong-Jing Hao, Mi-Xiao Hou, 2019, IDMB.

An NMF-L2,1-Norm Constraint Method for Characteristic Gene Selection

Jiguo Yu, Chun-Hou Zheng, Jin-Xing Liu, 2016, PloS one.

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition

Xiangzhen Kong, Fangzhou Xu, Shasha Yuan, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

C. Zheng, Jin-Xing Liu, J. Shang, 2017, BioData Mining.

MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder

Y. Wang, Jin-Xing Liu, Ying-Lian Gao, 2023, IEEE journal of biomedical and health informatics.

A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, Briefings Bioinform..

HTRPCA: Hypergraph Regularized Tensor Robust Principal Component Analysis for Sample Clustering in Tumor Omics Data

C. Zheng, Jin-Xing Liu, Juan Wang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

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

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2021, IEEE Journal of Biomedical and Health Informatics.

A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis

C. Zheng, Jin-Xing Liu, J. Shang, 2023, IEEE Journal of Biomedical and Health Informatics.

A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, IEEE Transactions on Neural Networks and Learning Systems.

scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization

Jin-Xing Liu, J. Shang, Juan Wang, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction

Jin-Xing Liu, Ying-Lian Gao, Cui-Na Jiao, 2023, IEEE Journal of Biomedical and Health Informatics.

KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder

Jin-Xing Liu, Wen-Yue Kang, Ying Gao, 2024, IEEE Journal of Biomedical and Health Informatics.

MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations

Jin-Xing Liu, Lingyun Dai, Xu Wang, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning

Jin-Xing Liu, Ying-Lian Gao, Juan Wang, 2023, J. Comput. Biol..

NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2023, IEEE Journal of Biomedical and Health Informatics.

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method

Feng Li, Shasha Yuan, Jin-Xing Liu, 2020, BMC Bioinformatics.

MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation

Jin-Xing Liu, Ying-Lian Gao, Meng-Meng Yin, 2021, ISBRA.

SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations

Jin-Xing Liu, Ying-Lian Gao, Bao-Min Liu, 2024, Knowl. Based Syst..