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Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis.

Y. Wang, X. Kong, B. Guan, C. Zheng, and Y. Gao. ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 324-334. Springer, (2023)

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Ying Gao

Gao Ying

Ying Ying

Jianping Ying

Xiang Ying

Other publications of authors with the same name

Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection.D. Wang, Y. Gao, J. Liu, J. Yu, and C. Wen. ICIC (2), volume 9226 of Lecture Notes in Computer Science, page 601-611. Springer, (2015)MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction.Y. Wang, Y. Gao, J. Wang, J. Shang, and J. Liu. ISBRA, volume 13760 of Lecture Notes in Computer Science, page 1-8. Springer, (2022)Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation.G. Zhang, S. Li, X. Dou, J. Shang, Q. Ren, and Y. Gao. BIBM, page 2216-2223. IEEE, (2022)Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis.Y. Wang, X. Kong, B. Guan, C. Zheng, and Y. Gao. 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.Z. Cui, Y. Gao, J. Liu, J. Wang, J. Shang, and L. Dai. BMC Bioinform., 20 (1): 5 (December 2019)A multi-view classification and feature selection method via sparse low-rank regression analysis.Y. Lu, Y. Gao, P. Li, and J. Liu. Int. J. Data Min. Bioinform., 24 (2): 140-159 (2020)DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile.M. Yin, Z. Cui, J. Liu, Y. Gao, and X. Kong. IDMB, volume 1099 of Communications in Computer and Information Science, page 196-208. Springer, (2019)Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder.Y. Gao, D. Zhang, C. Jiao, Y. Gao, and J. Liu. ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 359-367. Springer, (2023)MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes.S. Wang, J. Liu, B. Liu, L. Dai, F. Li, and Y. Gao. BIBM, page 648-653. IEEE, (2023)DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.J. Liu, M. Gao, Z. Cui, Y. Gao, and F. Li. BMC Bioinform., 22-S (3): 241 (2021)

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Disambiguation of "Gao, Ying-Lian"