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Ming-Juan Wu
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2020 – today
- 2022
- [j4]Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu
, Chun-Hou Zheng
, Juan Wang
:
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2420-2430 (2022) - 2021
- [j3]Chuan-Yuan Wang
, Na Yu
, Ming-Juan Wu
, Ying-Lian Gao
, Jin-Xing Liu
, Juan Wang
:
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2375-2383 (2021) - [j2]Na Yu
, Ming-Juan Wu
, Jin-Xing Liu
, Chun-Hou Zheng
, Yong Xu
:
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. 51(8): 3952-3963 (2021) - 2020
- [j1]Ming-Juan Wu
, Ying-Lian Gao
, Jin-Xing Liu
, Chun-Hou Zheng
, Juan Wang
:
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics 24(6): 1823-1834 (2020) - [c3]Ya-Li Zhu
, Ming-Juan Wu
, Chuan-Yuan Wang
, Yue Hu
, Jin-Xing Liu
:
Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data. BIC-TA 2020: 17-24
2010 – 2019
- 2017
- [c2]Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng
:
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM 2017: 1741-1745 - [c1]Na Yu
, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu:
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. BIBM 2017: 1752-1756
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