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Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.

J. Wang, C. Lu, J. Liu, L. Dai, и X. Kong. BMC Bioinform., 20-S (22): 718 (2019)

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Thay Kong

Xiangqing Kong

Seunghyun Kong

Wei Xiang

Ming Xiang

Другие публикации лиц с тем же именем

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.J. Wang, C. Lu, X. Kong, L. Dai, S. Yuan, и X. Zhang. BMC Bioinform., 22-S (12): 334 (января 2022)Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples.L. Dai, J. Liu, R. Zhu, X. Kong, M. Hou, и S. Yuan. BIBM, стр. 1332-1337. IEEE Computer Society, (2018)Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis.H. Chu, X. Kong, J. Liu, J. Wang, S. Yuan, и L. Dai. ISBRA, том 13064 из Lecture Notes in Computer Science, стр. 499-510. Springer, (2021)Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.C. Jiao, T. Wu, J. Liu, и X. Kong. IDMB, том 1099 из Communications in Computer and Information Science, стр. 112-125. Springer, (2019)Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification.Z. Niu, L. Ren, R. Zhu, X. Kong, Y. Gao, и J. Liu. ICIC (2), том 12837 из Lecture Notes in Computer Science, стр. 532-539. Springer, (2021)Network analysis based on low-rank method for mining information on integrated data of multi-cancers.M. Hou, Y. Gao, J. Liu, L. Dai, X. Kong, и J. Shang. Comput. Biol. Chem., (2019)Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.L. Ren, J. Liu, Y. Gao, X. Kong, и C. Zheng. Knowl. Based Syst., (2021)Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.J. Liu, C. Feng, X. Kong, и Y. Xu. IEEE Access, (2019)Laplacian regularized low-rank representation for cancer samples clustering.J. Wang, J. Liu, X. Kong, S. Yuan, и L. Dai. Comput. Biol. Chem., (2019)Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.J. Wang, C. Lu, J. Liu, L. Dai, и X. Kong. BMC Bioinform., 20-S (22): 718 (2019)

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