33 results on '"Gao, Ying-Lian"'
Search Results
2. GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network
3. HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder
4. An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification
5. Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation
6. Adaptive total-variation joint learning model for analyzing single cell RNA seq data
7. Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data
8. Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy
9. Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.
10. NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation.
11. Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis
12. Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework.
13. Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.
14. Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
15. DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection.
16. Hypergraph regularized NMF by L2,1-norm for Clustering and Com-abnormal Expression Genes Selection
17. Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.
18. WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.
19. Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.
20. Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
21. LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.
22. Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm
23. Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes
24. Low-rank representation regularized by L2,1-norm for identifying differentially expressed genes
25. Characteristic gene selection via L2,1-norm Sparse Principal Component Analysis
26. Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
27. Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.
28. A Class-information-based SNMF method for selecting characteristic genes
29. Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes.
30. PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering.
31. Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data.
32. A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.
33. Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition.
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