Ming-Juan Wu
Orcid: 0000-0003-2824-9353
According to our database1,
Ming-Juan Wu
authored at least 7 papers
between 2017 and 2022.
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Bibliography
2022
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
2021
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
IEEE Trans. Cybern., 2021
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
2020
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
IEEE J. Biomed. Health Informatics, 2020
Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020
2017
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017