Juan Wang
Orcid: 0000-0003-3934-0435Affiliations:
- Qufu Normal University, School of Information Science and Engineering, Rizhao, Shandong, China
According to our database1,
Juan Wang
authored at least 63 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
M<sup>3</sup>HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, October, 2024
IEEE J. Biomed. Health Informatics, April, 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
A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks With Adaptively Feature-Spatial Balance and Contrastive Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering.
J. Comput. Biol., 2024
Neurocomputing, 2024
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network.
CoRR, 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
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
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder.
IEEE J. Biomed. Health Informatics, July, 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
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 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
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
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
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.
BMC Bioinform., January, 2022
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints.
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
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 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
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
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
A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations.
J. Comput. Sci. Technol., 2021
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 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
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data.
Complex., 2020
Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis.
Complex., 2020
Proceedings of the Intelligent Computing Theories and Application, 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
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
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.
BMC Bioinform., December, 2019
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method.
Complex., 2019
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
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
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
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
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
2009
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009