30 results on '"Gao, Ying-Lian"'
Search Results
2. MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder
3. NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes
4. Non-negative low-rank representation with similarity correction for cell type identification in scRNA-seq data
5. BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data
6. Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction
7. Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection
8. NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation
9. A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection
10. LDCMFC: Predicting Long Non-coding RNA and Disease Association Using Collaborative Matrix Factorization based on Correntropy
11. Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization
12. MSF-LRR: Multi-similarity Information Fusion through Low-Rank Representation to Predict Disease-associated Microbes
13. Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification
14. DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection
15. LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations
16. Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations
17. WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations
18. Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification
19. Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data
20. LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring
21. Single-cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework
22. Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
23. An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis
24. Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey
25. Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes
26. PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering
27. Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization
28. Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data
29. A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data
30. Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition
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