Jin-Xing Liu
Orcid: 0000-0001-6104-2149Affiliations:
- University of Health and Rehabilitation Sciences, Qingdao, China
- Qufu Normal University, School of Computer Science, Rizhao, China
- Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China (2011 - 2015)
- South China University of Technology, State Key Laboratory of Pulp and Paper Engineering, Guangzhou, China (PhD 2008)
According to our database1,
Jin-Xing Liu
authored at least 192 papers
between 2006 and 2024.
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Bibliography
2024
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data.
IEEE J. Biomed. Health Informatics, June, 2024
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder.
IEEE J. Biomed. Health Informatics, May, 2024
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases.
IEEE J. Biomed. Health Informatics, May, 2024
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, February, 2024
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.
Knowl. Based Syst., January, 2024
A Multiscale Hybrid Attention Networks Based on Multiview Images for the Diagnosis of Parkinson's Disease.
IEEE Trans. Instrum. Meas., 2024
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model.
Quant. Biol., 2024
Neurocomputing, 2024
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction.
Eng. Appl. Artif. Intell., 2024
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network.
CoRR, 2024
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction.
CoRR, 2024
Biomed. Signal Process. Control., 2024
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
2023
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification.
IEEE J. Biomed. Health Informatics, October, 2023
BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data.
IEEE J. Biomed. Health Informatics, October, 2023
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations.
J. Comput. Biol., August, 2023
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization.
J. Comput. Biol., August, 2023
Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning.
J. Comput. Biol., August, 2023
Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection.
J. Comput. Biol., August, 2023
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder.
IEEE J. Biomed. Health Informatics, July, 2023
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data.
IEEE J. Biomed. Health Informatics, June, 2023
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification.
Comput. Biol. Chem., June, 2023
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis.
IEEE J. Biomed. Health Informatics, May, 2023
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning.
IEEE J. Biomed. Health Informatics, March, 2023
NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes.
IEEE J. Biomed. Health Informatics, March, 2023
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer.
BMC Bioinform., 2023
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints.
IEEE J. Biomed. Health Informatics, 2022
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.
IEEE J. Biomed. Health Informatics, 2022
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation.
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
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification.
Int. J. Mach. Learn. Cybern., 2022
Predicting miRNA-disease associations via layer attention graph convolutional network model.
BMC Medical Informatics Decis. Mak., 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
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases.
Future Gener. Comput. Syst., 2022
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis.
BMC Bioinform., 2022
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism.
Briefings Bioinform., 2022
Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification.
Appl. Intell., 2022
THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints.
Proceedings of the Recent Advances in Transdisciplinary Data Science, 2022
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification.
Proceedings of the Intelligent Computing Theories and Application, 2022
Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Identification of cancer driver modules by combining network functional and topology information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Adaptive total variation constraint hypergraph regularized NMF for single-cell RNA-seq data analysis.
Quant. Biol., December, 2021
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021
Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
IEEE Trans. Cybern., 2021
LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection.
Symmetry, 2021
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.
Knowl. Based Syst., 2021
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations.
J. Comput. Sci. Technol., 2021
Sparse robust graph-regularized non-negative matrix factorization based on correntropy.
J. Bioinform. Comput. Biol., 2021
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis.
Int. J. Neural Syst., 2021
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier.
BMC Bioinform., 2021
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations.
BMC Bioinform., 2021
DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.
BMC Bioinform., 2021
Multiscale part mutual information for quantifying nonlinear direct associations in networks.
Bioinform., 2021
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 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
Adaptive total-variation joint learning model for analyzing single cell RNA seq data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
IEEE J. Biomed. Health Informatics, 2020
Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.
IEEE J. Biomed. Health Informatics, 2020
LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.
IEEE J. Biomed. Health Informatics, 2020
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
A multi-view classification and feature selection method via sparse low-rank regression analysis.
Int. J. Data Min. Bioinform., 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
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
BMC Bioinform., 2020
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
BMC Bioinform., 2020
Proceedings of the Intelligent Computing Theories and Application, 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
Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 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
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition.
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
ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactions.
BMC Bioinform., December, 2019
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.
BMC Bioinform., December, 2019
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
IEEE Trans. Neural Networks Learn. Syst., 2019
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data.
J. Comput. Biol., 2019
Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method.
Complex., 2019
Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.
Complex., 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
HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions.
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
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations.
BMC Bioinform., 2019
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations.
BMC Bioinform., 2019
L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
BMC Bioinform., 2019
A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions.
IEEE Access, 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
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers.
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
An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis.
Proceedings of the Recent Advances in Data Science, 2019
Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis.
Proceedings of the Recent Advances in Data Science, 2019
Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
2018
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data.
Proceedings of the Intelligent Computing Theories and Application, 2018
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
A joint-L<sub>2, 1</sub>-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis.
Neurocomputing, 2017
A novel low-rank representation method for identifying differentially expressed genes.
Int. J. Data Min. Bioinform., 2017
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes.
Complex., 2017
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition.
BMC Syst. Biol., 2017
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm.
BioData Min., 2017
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Int. J. Data Min. Bioinform., 2016
Differentially expressed genes selection via Laplacian regularized low-rank representation method.
Comput. Biol. Chem., 2016
CINOEDV: a co-information based method for detecting and visualizing <i>n</i>-order epistatic interactions.
BMC Bioinform., 2016
SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2016
An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes.
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
2013
BMC Bioinform., 2013
2012
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition.
Comput. Biol. Medicine, 2012
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
2011
Discovering the transcriptional modules using microarray data by penalized matrix decomposition.
Comput. Biol. Medicine, 2011
2007
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
2006
Proceedings of the Computational Intelligence, 2006