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Disambiguation of "Gao, Ying-Lian"

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Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes.

, , , , and . BIBM, page 626-629. IEEE Computer Society, (2017)

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Ying Gao

Gao Ying

Ying Ying

Xiang Ying

Jianping Ying

 

Other publications of authors with the same name

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)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)Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy., , , , , and . BIBM, page 418-423. IEEE, (2021)Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation., , , , , and . BIBM, page 2216-2223. IEEE, (2022)MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes., , , , , and . BIBM, page 648-653. IEEE, (2023)DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization., , , , and . BMC Bioinform., 22-S (3): 241 (2021)A multi-view classification and feature selection method via sparse low-rank regression analysis., , , and . Int. J. Data Min. Bioinform., 24 (2): 140-159 (2020)The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method., , , , , and . BMC Bioinform., 20 (1): 5 (December 2019)