157 results on '"Gao, Ying-Lian"'
Search Results
2. Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction
3. SLGCN: Structure-enhanced line graph convolutional network for predicting drug–disease associations
4. BMPMDA: Prediction of MiRNA-Disease Associations Using a Space Projection Model Based on Block Matrix
5. BRWMC: Predicting lncRNA-disease associations based on bi-random walk and matrix completion on disease and lncRNA networks
6. Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases
7. Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification
8. Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification
9. Adaptive Total-Variation Regularized Low-Rank Representation for Analyzing Single-Cell RNA-seq Data
10. L2,1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification
11. Principal Component Analysis Based on Graph Laplacian and Double Sparse Constraints for Feature Selection and Sample Clustering on Multi-View Data
12. Network analysis based on low-rank method for mining information on integrated data of multi-cancers
13. DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization
14. MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations
15. Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification
16. A new method for mining information of co-expression network based on multi-cancers integrated data
17. RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations
18. The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method
19. Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data
20. Differentially expressed genes selection via Laplacian regularized low-rank representation method
21. NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations
22. L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions
23. Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning.
24. A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug–Disease Associations.
25. new framework for drug–disease association prediction combing light-gated message passing neural network and gated fusion mechanism.
26. Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.
27. NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation.
28. Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data.
29. Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework.
30. Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.
31. Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
32. DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection.
33. Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations.
34. Sparse robust graph-regularized non-negative matrix factorization based on correntropy.
35. WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.
36. Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.
37. Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction
38. Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
39. LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.
40. Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
41. Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.
42. L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
43. Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method.
44. The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.
45. Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.
46. A Simple Review of Sparse Principal Components Analysis.
47. Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data.
48. Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes.
49. PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering.
50. Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction.
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