Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. - Ming-Juan Wu; Jin-Xing Liu 001; Ying-Lian Gao; Xiangzhen Kong; Chun-Mei Feng 001 (BIBM, 2017)

Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. - Na Yu; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Juan Wang 003; Ming-Juan Wu (BIBM, 2017)

Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data. - Ya-li Zhu; Ming-Juan Wu; Chuan-Yuan Wang; Yue Hu; Jin-Xing Liu 001 (BIC-TA, 2020)

Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. - Ming-Juan Wu; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001; Juan Wang 003 (IEEE J. Biomed. Health Informatics, 2020)

Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. - Chuan-Yuan Wang; Na Yu; Ming-Juan Wu; Ying-Lian Gao; Jin-Xing Liu 001; Juan Wang 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. - Na Yu; Ming-Juan Wu; Jin-Xing Liu 001; Chun-Hou Zheng 001; Yong Xu 001 (IEEE Trans. Cybern., 2021)

Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. - Ying-Lian Gao; Ming-Juan Wu; Jin-Xing Liu 001; Chun-Hou Zheng 001; Juan Wang 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)