Ling-Yun Dai
Orcid: 0000-0001-9386-5967
According to our database1,
Ling-Yun Dai
authored at least 37 papers
between 2016 and 2023.
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Bibliography
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
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
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
2022
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.
BMC Bioinform., January, 2022
Predicting miRNA-disease associations via layer attention graph convolutional network model.
BMC Medical Informatics Decis. Mak., 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
CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
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
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
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
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition.
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
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
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
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data.
BMC Bioinform., 2019
L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
BMC Bioinform., 2019
2018
Proceedings of the Intelligent Computing Theories and Application, 2018
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 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
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
Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016