18 results on '"Gao, Ying-Lian"'
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2. Identify Complex Higher-Order Associations Between Alzheimer’s Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis
3. Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder
4. LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction
5. A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs
6. MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction
7. MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation
8. Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification
9. DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile
10. Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification
11. Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations
12. Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data
13. A Simple Review of Sparse Principal Components Analysis
14. Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data
15. Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes
16. Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection
17. A Two-Stage Sparse Selection Method for Extracting Characteristic Genes
18. Semi-supervised Feature Extraction for RNA-Seq Data Analysis
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