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Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection.

, , , , and . ICIC (2), volume 9226 of Lecture Notes in Computer Science, page 601-611. Springer, (2015)

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MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction., , , , and . ISBRA, volume 13760 of Lecture Notes in Computer Science, page 1-8. Springer, (2022)Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection., , , , and . ICIC (2), volume 9226 of Lecture Notes in Computer Science, page 601-611. Springer, (2015)M3HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction., , , , and . IEEE J. Biomed. Health Informatics, 28 (10): 6259-6267 (October 2024)Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder., , , , and . ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 359-367. Springer, (2023)DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile., , , , and . IDMB, volume 1099 of Communications in Computer and Information Science, page 196-208. Springer, (2019)Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis., , , , and . ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 324-334. Springer, (2023)The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method., , , , , and . BMC Bioinform., 20 (1): 5 (December 2019)Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation., , , , , and . BIBM, page 2216-2223. IEEE, (2022)Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy., , , , , and . BIBM, page 418-423. IEEE, (2021)A review of recent advances in spatially resolved transcriptomics data analysis., , , , , and . Neurocomputing, (2024)