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L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.

, , , , and . Comput. Biol. Chem., (2020)

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Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints., , , , and . BMC Bioinform., 20-S (22): 718 (2019)Laplacian regularized low-rank representation for cancer samples clustering., , , , and . Comput. Biol. Chem., (2019)Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data., , , , , and . BIBM, page 92-95. IEEE, (2020)Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering., , , , , and . BIBM, page 397-401. IEEE, (2020)Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis., , , , , and . BIBM, page 121-125. IEEE, (2020)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)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)Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data., , , , , and . BMC Bioinform., 22-S (12): 334 (January 2022)Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data., , , and . IEEE Access, (2019)