304 results on '"Gao, Ying-Lian"'
Search Results
102. Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data
103. LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring
104. A multi-view classification and feature selection method via sparse low-rank regression analysis
105. Single-cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework
106. A multi-view classification and feature selection method via sparse low-rank regression analysis
107. A New Model of Identifying Differentially Expressed Genes via Weighted Network Analysis Based on Dimensionality Reduction Method
108. CNLLRR: A Novel Low-Rank Representation Method for Single-cell RNA-seq Data Analysis
109. Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
110. Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection
111. Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method
112. Dual-network sparse graph regularized matrix factorization for predicting miRNA–disease associations
113. An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis
114. Hypergraph regularized NMF by L2,1-norm for Clustering and Com-abnormal Expression Genes Selection
115. Co-differential Gene Selection and Clustering Based on Graph Regularized Multi-View NMF in Cancer Genomic Data
116. Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction
117. Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey
118. Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition
119. Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm
120. Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes
121. Low-rank representation regularized by L2,1-norm for identifying differentially expressed genes
122. Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes
123. PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering
124. Identifying drug-pathway association pairs based on L1L2,1-integrative penalized matrix decomposition
125. A joint-L2,1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis
126. A novel low-rank representation method for identifying differentially expressed genes
127. JointL1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction
128. A novel low-rank representation method for identifying differentially expressed genes
129. Characteristic gene selection via L2,1-norm Sparse Principal Component Analysis
130. Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization
131. A New Model of Identifying Differentially Expressed Genes viaWeighted Network Analysis Based on Dimensionality Reduction Method
132. L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
133. The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.
134. Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data
135. An NMF-L2,1-Norm Constraint Method for Characteristic Gene Selection
136. A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data
137. Coexpression Module Discovery Based on Gene Expression Data
138. A P-Norm Robust Feature Extraction Method for Identifying Differentially Expressed Genes
139. A Class-information-based SNMF method for selecting characteristic genes
140. Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction.
141. A Class-Information-Based Penalized Matrix Decomposition for Identifying Plants Core Genes Responding to Abiotic Stresses
142. Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition
143. An NMF-L2,1-Norm Constraint Method for Characteristic Gene Selection.
144. L2,1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.
145. Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
146. A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug–Disease Associations.
147. Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.
148. MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
149. M 3 HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction.
150. Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.