Chun-Hou Zheng
Orcid: 0000-0002-2695-1926Affiliations:
- Anhui University, College of Electrical Engineering and Automation, Hefei, China
- Qufu Normal University, College of Information and Communication Technology, Rizhao, China
According to our database1,
Chun-Hou Zheng
authored at least 202 papers
between 2005 and 2024.
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Bibliography
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
IEEE J. Biomed. Health Informatics, January, 2024
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.
Knowl. Based Syst., January, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
2023
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.
IEEE J. Biomed. Health Informatics, December, 2023
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 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
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
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
Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing data.
Briefings Bioinform., March, 2023
scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data.
Briefings Bioinform., January, 2023
Briefings Bioinform., January, 2023
scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network.
Briefings Bioinform., January, 2023
Diversity-Connected Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023
LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization.
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
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data.
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
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Hybrid Tourism Recommendation System Based on Multi-objective Evolutionary Algorithm and Re-ranking.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 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
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation.
IEEE Trans. Cybern., 2022
An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation.
IEEE Trans. Circuits Syst. Video Technol., 2022
Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs.
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
Sensors, 2022
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases.
Future Gener. Comput. Syst., 2022
CoRR, 2022
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory.
Comput. Methods Programs Biomed., 2022
iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework.
BMC Bioinform., 2022
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis.
BMC Bioinform., 2022
Bioinform., 2022
scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation.
Briefings Bioinform., 2022
Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison.
Briefings Bioinform., 2022
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism.
Briefings Bioinform., 2022
NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides.
Briefings Bioinform., 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
Proceedings of the Intelligent Computing Theories and Application, 2022
Predicting Drug-Disease Associations by Self-topological Generalized Matrix Factorization with Neighborhood Constraints.
Proceedings of the Intelligent Computing Theories and Application, 2022
A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 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
Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
IEEE Trans. Cybern., 2021
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
PLoS Comput. Biol., 2021
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.
PLoS Comput. Biol., 2021
BMC Medical Informatics Decis. Mak., 2021
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.
BMC Medical Informatics Decis. Mak., 2021
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.
Knowl. Based Syst., 2021
A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks.
Inf. Sci., 2021
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method.
Neurocomputing, 2021
BMC Bioinform., 2021
BMC Bioinform., 2021
Identification of driver genes based on gene mutational effects and network centrality.
BMC Bioinform., 2021
Bioinform., 2021
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.
Briefings Bioinform., 2021
Erratum: usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Briefings Bioinform., 2021
usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Briefings 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
SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data.
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association.
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 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
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data.
Complex., 2020
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
BMC Bioinform., 2020
Graph regularized L<sub>2, 1</sub>-nonnegative matrix factorization for miRNA-disease association prediction.
BMC Bioinform., 2020
Briefings Bioinform., 2020
Comparison and integration of computational methods for deleterious synonymous mutation prediction.
Briefings Bioinform., 2020
An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 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
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images.
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
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
J. Vis. Commun. Image Represent., 2019
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data.
J. Comput. Biol., 2019
A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery.
Cogn. Syst. Res., 2019
Integrative graph regularized matrix factorization for drug-pathway associations analysis.
Comput. Biol. Chem., 2019
Semi-supervised prediction of protein interaction sites from unlabeled sample information.
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
Proceedings of the Intelligent Computing Theories and Application, 2019
Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 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
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 Methodologies - 14th International Conference, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Classification of Hyperspectral Data Using a Multi-Channel Convolutional Neural Network.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Class Probability Propagation of Supervised Information Based on Sparse Subspace Clustering for Hyperspectral Images.
Remote. Sens., 2017
Neurocomputing, 2017
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography.
Neurocomputing, 2017
A joint-L<sub>2, 1</sub>-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis.
Neurocomputing, 2017
Complex., 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
Artif. Intell. Medicine, 2017
Similarity Matrix Construction Methods in Sparse Subspace Clustering Algorithm for Hyperspectral Imagery Clustering.
Proceedings of the Intelligent Computing Theories and Application, 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
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
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
Identification of mutated driver pathways in cancer using a multi-objective optimization model.
Comput. Biol. Medicine, 2016
Differentially expressed genes selection via Laplacian regularized low-rank representation method.
Comput. Biol. Chem., 2016
LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.
BMC Bioinform., 2016
CINOEDV: a co-information based method for detecting and visualizing <i>n</i>-order epistatic interactions.
BMC Bioinform., 2016
System Prediction of Drug-Drug Interactions Through the Integration of Drug Phenotypic, Therapeutic, Structural, and Genomic Similarities.
Proceedings of the Intelligent Computing Theories and Application, 2016
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm.
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 Methodologies - 12th International Conference, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Cancer genes discovery based on integtating transcriptomic data and the impact of gene length.
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
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
Neurocomputing, 2015
Database J. Biol. Databases Curation, 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Multi-objective Optimization Method for Identifying Mutated Driver Pathways in Cancer.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Identification of Colorectal Cancer Candidate Genes Based on Subnetwork Extraction Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
2014
Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
2013
Neurocomputing, 2013
BMC Bioinform., 2013
Proceedings of the Intelligent Computing Theories and Technology, 2013
Differential coexpression analysis in gene modules level and its application to type 2 diabetes.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 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
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Neural Comput. Appl., 2011
Discovering the transcriptional modules using microarray data by penalized matrix decomposition.
Comput. Biol. Medicine, 2011
Proceedings of the Bio-Inspired Computing and Applications, 2011
2010
Comput. Biol. Medicine, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010
2009
IEEE Trans. Inf. Technol. Biomed., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009
2008
Pattern Recognit., 2008
Genom. Proteom. Bioinform., 2008
Proceedings of the Advances in Neural Networks, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008
2007
Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007
2006
Nonnegative independent component analysis based on minimizing mutual information technique.
Neurocomputing, 2006
Feature selection in independent component subspace for microarray data classification.
Neurocomputing, 2006
Neurocomputing, 2006
Neurocomputing, 2006
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network.
Neurocomputing, 2006
Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
Bioinform., 2006
2005
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005