Juan Wang

Orcid: 0000-0003-3934-0435

Affiliations:
  • Qufu Normal University, School of Information Science and Engineering, Rizhao, Shandong, China


According to our database1, Juan Wang authored at least 51 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection.
IEEE J. Biomed. Health Informatics, April, 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

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

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

scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method.
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

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

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

Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis.
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

Essential Proteins Identification Based on Integrated Network.
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

Laplacian regularized low-rank representation for cancer samples clustering.
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
Constrained Maximum Variance Mapping for Tumor Classification.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009


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