These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

210 related articles for article (PubMed ID: 37182344)

  • 1. Joint feature selection and optimal bipartite graph learning for subspace clustering.
    Mei S; Zhao W; Gao Q; Yang M; Gao X
    Neural Netw; 2023 Jul; 164():408-418. PubMed ID: 37182344
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank.
    Nie F; Chang W; Wang R; Li X
    IEEE Trans Cybern; 2023 Feb; 53(2):1235-1247. PubMed ID: 34637388
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Learning the consensus and complementary information for large-scale multi-view clustering.
    Liu M; Palade V; Zheng Z
    Neural Netw; 2024 Apr; 172():106103. PubMed ID: 38219678
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets.
    Moslemi A; Ahmadian A
    Comput Biol Med; 2023 Dec; 167():107659. PubMed ID: 37950946
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning.
    Fang SG; Huang D; Cai XS; Wang CD; He C; Tang Y
    IEEE Trans Neural Netw Learn Syst; 2024 Aug; 35(8):11436-11447. PubMed ID: 37030820
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Large-Scale Clustering With Structured Optimal Bipartite Graph.
    Zhang H; Nie F; Li X
    IEEE Trans Pattern Anal Mach Intell; 2023 Aug; 45(8):9950-9963. PubMed ID: 37200121
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint.
    Lu GF; Yu QR; Wang Y; Tang G
    Neural Netw; 2020 May; 125():214-223. PubMed ID: 32146353
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Non-negative low-rank representation based on dictionary learning for single-cell RNA-sequencing data analysis.
    Wang J; Zhang N; Yuan S; Shang J; Dai L; Li F; Liu J
    BMC Genomics; 2022 Dec; 23(1):851. PubMed ID: 36564711
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Tensor LRR and Sparse Coding-Based Subspace Clustering.
    Fu Y; Gao J; Tien D; Lin Z; Hong X
    IEEE Trans Neural Netw Learn Syst; 2016 Oct; 27(10):2120-33. PubMed ID: 27164609
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.
    Peng X; Yu Z; Yi Z; Tang H
    IEEE Trans Cybern; 2017 Apr; 47(4):1053-1066. PubMed ID: 26992192
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Linear-time subspace clustering via bipartite graph modeling.
    Adler A; Elad M; Hel-Or Y
    IEEE Trans Neural Netw Learn Syst; 2015 Oct; 26(10):2234-46. PubMed ID: 25706889
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An adaptive kernel dictionary-based low-rank representation method for subspace clustering.
    Kan Y; Lu GF; Du Y
    Neural Netw; 2024 Oct; 178():106434. PubMed ID: 38941739
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-view subspace clustering via adaptive graph learning and late fusion alignment.
    Tang C; Sun K; Tang C; Zheng X; Liu X; Huang JJ; Zhang W
    Neural Netw; 2023 Aug; 165():333-343. PubMed ID: 37327580
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cancer Subtype Recognition Based on Laplacian Rank Constrained Multiview Clustering.
    Ge S; Wang X; Cheng Y; Liu J
    Genes (Basel); 2021 Apr; 12(4):. PubMed ID: 33916856
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-view projected clustering with graph learning.
    Gao Q; Wan Z; Liang Y; Wang Q; Liu Y; Shao L
    Neural Netw; 2020 Jun; 126():335-346. PubMed ID: 32278842
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Unsupervised robust discriminative subspace representation based on discriminative approximate isometric embedding.
    Li J
    Neural Netw; 2022 Nov; 155():287-307. PubMed ID: 36084474
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Laplacian regularized low-rank representation for cancer samples clustering.
    Wang J; Liu JX; Kong XZ; Yuan SS; Dai LY
    Comput Biol Chem; 2019 Feb; 78():504-509. PubMed ID: 30528509
    [TBL] [Abstract][Full Text] [Related]  

  • 18. One-Step Robust Low-Rank Subspace Segmentation for Tumor Sample Clustering.
    Liu J; Cheng Y; Wang X; Ge S
    Comput Intell Neurosci; 2021; 2021():9990297. PubMed ID: 34925501
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection.
    Wang J; Wang LH; Liu JX; Kong XZ; Li SJ
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):3578-3589. PubMed ID: 35157604
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Low-rank representation with adaptive graph regularization.
    Wen J; Fang X; Xu Y; Tian C; Fei L
    Neural Netw; 2018 Dec; 108():83-96. PubMed ID: 30173056
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.