147 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. Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
38. LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.
39. Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.
40. L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
41. Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method.
42. The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.
43. Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.
44. Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes.
45. PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering.
46. Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction.
47. Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data.
48. An NMF-L2,1-Norm Constraint Method for Characteristic Gene Selection.
49. A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.
50. A P-Norm Robust Feature Extraction Method for Identifying Differentially Expressed Genes.
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